WEBVTT

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Welcome back to The Deep Dive. Today we've got

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a story that, honestly, it feels like one of

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those movie scripts you'd reject because it's

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just a little too unbelievable. It really does.

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It has all the elements, right? You've got extreme

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poverty, a hero who basically has to teach herself

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everything. Then you have the entire scientific

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establishment, I mean everyone, saying, you're

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crazy, this will never work. And then, after

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all that, a discovery they want to talk to it.

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It just fundamentally changes how we understand

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life itself. And we're not being metaphorical.

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We aren't talking about the meaning of life.

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We're talking about the actual physical machinery.

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Nuts and bolts. The factory floor of biology,

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really. We're talking about the ribosome and

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the woman who finally cracked its code, Ada Yonath.

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Now, before we get into the, you know, the really

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heavy science and we will get into it because

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you can't appreciate the victory without understanding

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the fight. That's true. We need to set the stage

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for the sheer magnitude of this thing. OK, think

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of it like this. For decades, we knew DNA was

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the blueprint. The instructions. The instructions.

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Exactly. We knew they were in there, but we didn't

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really have a clue how the cell actually took

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those instructions and, you know, built a living

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thing from them. The machine doing the work,

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the rhizome, was just a total black box. A black

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box that almost everyone in the field was convinced

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was impossible to open. That is the key. Impossible.

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Formidable. That was the word they always used.

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Formidable challenges. Which, you know, is just

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the polite academic way of saying, don't even

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bother, you are going to fail. But Edie Yonath

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didn't listen. Thankfully. And because she didn't

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listen... We now have a completely different,

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a radically different understanding of how antibiotics

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work, how drug resistance happens, and even the

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very history of life on Earth. And the incredible

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part is she did all of it, starting from a place

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where she literally didn't even have money for

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a notebook. Let's start right there. Let's go

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back to 1939, the guerrilla quarter of Jerusalem.

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Can you sort of paint a picture for us? So, yeah,

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1939. This is pre -state Israel, so it's the

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British Mandate of Palestine. And it's a time

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of just incredible tension of uncertainty. And

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for Ada's family, the Lifshitz family, that was

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her maiden name, it was a time of just grinding

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poverty. Her parents, Hillel and Esther, they

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were from Poland, right? That's right. They were

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Zionist Jews, and they had immigrated from a

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town called Zduska Wola in 1933. So they got

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out just in the nick of time, just before Europe

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really ignited. They got out. Yes. But life in

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Jerusalem was not the promised land they might

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have hoped for. Her father, he wasn't a scientist

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or a professor. He actually came from a long

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line of rabbis. But in Jerusalem, he was running

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a small grocery store. And when we say grocery

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store, we shouldn't be picturing. Like a modern

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supermarket? No, not at all. This was a daily

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struggle for survival. The source material we

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have is very blunt about it. It just says they

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found it difficult to make ends meet. And I was

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really struck by the description of their apartment.

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It wasn't just a small apartment. It was, what,

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a few rooms that they shared with several other

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families? That was very common for the time and,

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you know, for their economic situation. But you

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have to think about what that does to a child.

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Imagine the constant noise. Yeah. The absolute

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lack of privacy. No space of your... None. You

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are literally living on top of other people.

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There's no yard to run around in. There's no

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room for toys. And yet somehow out of that cramped,

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loud environment, she develops this incredibly

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rich internal life. There's a note here where

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she recalls that books were the only thing she

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had to keep her occupied. That's the escape hatch,

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isn't it? When your physical world is that constricted,

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you expand the mental one. Books became her whole

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world. And, I mean, it also says something about

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her parents. How so? Well, they're struggling

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just to put bread on the table, but they clearly

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valued her mind. They knew she was bright. They

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made sure she went to a good school in Bate -Hackram.

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They did, and that's such a crucial detail, because

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Bate -Hackram was an upscale neighborhood. It

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was nowhere near where they lived. They couldn't

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really afford it, but they were determined to

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give her a proper... education it's that classic

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immigrant story you know sacrifice everything

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so the kids can have a better life but then just

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as she's getting started the floor just drops

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out from under them her father dies he was only

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42 Ada was still a young girl just 11 and suddenly

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that struggling grocery store which was barely

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keeping them afloat It's not even an option anymore.

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The family just collapses financially. Completely.

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They have to pack up and move to Tel Aviv just

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to try and find some way for her mother to support

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them. This is the part of the story where, for

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most people, the academic dream would just die.

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You lose the main breadwinner. You're in poverty.

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You move to a new city. You go find a job, right?

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It is. You don't aim for a prestigious high school.

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You certainly don't aim for a place like Tikshon

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Hadash. That was a top tier high school. But

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Ada had applied and she'd been accepted. The

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problem obviously was the tuition. There was

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just no way her mother could pay it. So you have

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this brilliant teenager. She's grieving her father

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and she's holding an acceptance letter that's

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basically worthless. But she doesn't give up.

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And this is really the first time we see that,

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that stubbornness, that sheer force of will that's

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going to win her a Nobel Prize 50 years down

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the line. What does she do? She goes to the school.

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As a teenager. And she strikes a deal with them.

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She tells them, look, I'll give math lessons

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to the other students if you'll let me study

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here. She offers to pay her tuition that way.

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I just love that image. She's sitting in class

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next to kids whose parents can just write a check

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without a second thought. And she's there because

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she's going to be tutoring those same kids after

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the final bell rings. She's literally paying

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for her seat at the table with her own brain

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power. It sets a pattern for her whole life,

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doesn't it? It absolutely does. She learns right

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from the start that she has to work twice as

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hard as everyone else just to stay in the room.

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And she learns that her intellect is her primary

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tool for survival. And speaking of her intellect,

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it's around this time she reads a biography that

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makes a huge impression on her. Marie Curie.

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The famous Polish scientist. It makes perfect

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sense, right? Here's another woman from Poland

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from, you know, difficult circumstances who reaches

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the absolute pinnacle of science. It must have

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been so inspiring. But there's a really interesting

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nuance here. Usually when a scientist brings

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up Marie Curie, it's pure hero worship. She was

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my idol. I wanted to be just like her. But Yonath

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is very specific about this. She says Curie was

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an inspiration, but not a role model. It's such

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a telling distinction. A role model is someone

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whose life path you want to emulate. To copy.

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Yonath had no interest in copying anyone. She

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was fascinated by the science, by the achievement,

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but she was determined to forge her own unique

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path. She didn't want to be the next Marie Curie.

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She wanted to be the first Ada Yonath. It's that

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fierce independence again. That I'll find my

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own way attitude. So she finishes high school,

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paying her way with math lessons, and then she

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heads back to Jerusalem for university. To the

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Hebrew University of Jerusalem. And she just

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flies through it. She gets her bachelor's degree

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in chemistry in 1962. Then she immediately gets

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a master's in biochemistry by 1964. So you can

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see her moving from the pure abstract chemistry

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into the chemistry of life itself. Exactly. And

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then comes the big pivot, the move that really

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defines her entire career. She goes to the Weizmann

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Institute of Science for her Ph .D. And her advisor

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there is a man named Wolfie Traub. Right. And

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the subject she takes on for her dissertation

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is the X -ray crystallography of collagen. OK,

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let's pause there. We need to break down X -ray

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crystallography because we're going to be hearing

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that term a lot. To the average person, I mean,

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that sounds like something out of science fiction.

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What is she actually doing? It really is a bit

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like science fiction. Okay, so imagine you have

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a tiny complex object like a protein molecule.

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You want to see its shape, but it's way, way

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too small for any normal microscope. Because

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it's smaller than the wavelength of visible light.

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Much smaller. A light wave just washes right

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over a protein like an ocean wave washing over

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a single grain of sand. You don't see the sand.

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So to see it, you need something with a much,

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much smaller wavelength. X -rays. But here's

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the problem. You can't focus x -rays with a lens

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like you can with light. There's no such thing

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as an x -ray microscope, so you have to do something

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clever. You take millions and millions of your

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protein molecules and you get them to line up

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perfectly, all facing the exact same direction

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in a repeating 3D pattern. You grow a crystal.

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Like a tiny, perfectly organized army of molecules.

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That's a perfect analogy. A regiment of soldiers

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on a parade ground. Then you take that crystal

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and you blast it with a powerful beam of x -rays.

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The x -rays hit the atoms in the crystal and

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they bounce off. They diffract. They scatter

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in a very specific pattern of spots that you

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capture on a detector behind the crystal. So

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you don't get a picture of the molecule itself,

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you just get... A pattern of dots? You get a

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diffraction pattern. It looks like a complex

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star map. And then, and this is the genius part,

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you use some very, very heavy mathematics, something

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called Fourier transforms, to work backwards

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from the pattern. You're reconstructing the object

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by analyzing its shadow. In a sense, yes. It's

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like being in a dark room with an invisible statue.

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You start throwing thousands of tennis balls

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at it, and you mark where every single ball hits

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the back wall. If you throw enough tennis balls,

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you can eventually figure out the exact shape.

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of the indisical statue. So for her Ph .D., she's

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throwing X -ray tennis balls at collagen. Exactly.

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Collagen is a fibrous structural protein. It's

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what keeps your skin elastic. She's learning

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the trade. She's figuring out how to grow the

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crystals, how to operate the X -ray machines,

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and crucially, how to do the math. And she gets

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her Ph .D. in 1968. She's officially Dr. Ada

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Yonath. She has the credentials. And so she heads

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to the U .S. for her postdoctoral work. She goes

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to Carnegie Mellon in 69 and then to MIT in 1960.

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I mean, this is the big leagues of science. While

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she's at MIT, she spends some time in a lab at

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Harvard that completely changes her trajectory.

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Yes, the lab of William N. Lipscomb Jr. He was

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an absolute giant in the field. He would go on

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to win the Nobel Prize in chemistry himself in

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1976. So she's seeing what's possible at the

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highest level. Right. Being in that environment,

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seeing these brilliant minds tackling enormous,

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seemingly impossible questions, it just emboldened

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her. She starts thinking, you know, about...

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very large structures. Why is large a scary word

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in crystallography? Intuitively, I think a bigger

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object would be easier to see than a tiny one.

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That's logical, but in biology, large almost

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always means complex, and more importantly, unstable.

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What do you mean by unstable? Well, a small molecule

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like salt is like a hard, rigid little brick.

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It's easy to stack them into a perfect crystal.

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But large biological machines, like the one she

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was getting interested in, they're floppy. They

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have moving parts. They're flexible. They don't

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want to hold still and line up in a perfect crystal

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lattice. But that's exactly what Yonath decided

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she wants to tackle. The biggest, floppiest machine

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of all. The ribosome. That's right. She returns

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to Israel in 1970. And she establishes the very

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first protein crystallography laboratory in the

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entire country. The first one. The first one.

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And for nearly a decade, it would be the only

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one. She is a complete lone wolf building this

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entire field of science from the ground up in

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Israel. And she sets her sights on the ribosome.

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Okay, let's define the target. We know it's a

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very large structure. But what is its actual

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job? What does the ribosome do that makes it

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worth all this effort? The ribosome is... It's

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the universal translator of life. Your DNA contains

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all the instructions to build you, your eye color,

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your hair color, how to digest your lunch. But

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the DNA itself is just a library. It just sits

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there. It doesn't actually do anything. It's

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passive. It's passive. The ribosome is the machine

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that comes in, takes a working copy of those

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instructions, a molecule called RNA, and it reads

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them. And as it reads the instructions, it simultaneously

00:12:00.980 --> 00:12:03.580
builds what the instructions describe. It builds

00:12:03.580 --> 00:12:07.200
proteins? It builds proteins. And proteins are,

00:12:07.360 --> 00:12:10.549
for all - practical purposes, everything. Hemoglobin,

00:12:10.610 --> 00:12:12.929
the molecule that carries oxygen in your blood.

00:12:12.970 --> 00:12:16.649
That's a protein. Insulin is a protein. The antibodies

00:12:16.649 --> 00:12:19.149
fighting off your cold are proteins. The keratin

00:12:19.149 --> 00:12:21.889
in your hair and fingernails is a protein. The

00:12:21.889 --> 00:12:24.090
ribosome is the single machine that makes all

00:12:24.090 --> 00:12:26.370
of them. So if it stops working? You stop working

00:12:26.370 --> 00:12:30.090
instantly. Without the ribosome, life as we know

00:12:30.090 --> 00:12:32.889
it is impossible. It is arguably the most important

00:12:32.889 --> 00:12:36.399
single piece of machinery in your body. And Yonath

00:12:36.399 --> 00:12:38.639
wanted to know how it worked, to pop the hood

00:12:38.639 --> 00:12:40.799
and see the engine. Exactly. And to know how

00:12:40.799 --> 00:12:42.659
any machine works, you first have to know what

00:12:42.659 --> 00:12:44.600
it looks like. You need the blueprint. But when

00:12:44.600 --> 00:12:46.899
she started telling people, hey, I'm going to

00:12:46.899 --> 00:12:48.940
crystallize the ribosome and get its structure,

00:12:49.120 --> 00:12:52.720
the reaction wasn't, you know. Great idea. Good

00:12:52.720 --> 00:12:55.080
luck. No. The reaction was, you're wasting your

00:12:55.080 --> 00:12:57.299
time. The notes used the phrase considerable

00:12:57.299 --> 00:12:59.779
skepticism. Which we already established is polite

00:12:59.779 --> 00:13:02.860
speech. Right. In reality, it was outright dismissal.

00:13:02.860 --> 00:13:04.519
People thought she was on a fool's errand. They

00:13:04.519 --> 00:13:07.720
thought it was a career -ending move. Why? What

00:13:07.720 --> 00:13:10.179
was it about the ribosome that made it so much

00:13:10.179 --> 00:13:12.899
harder than, say, the collagen she studied for

00:13:12.899 --> 00:13:16.580
her PhD? A few really big things. First, as we

00:13:16.580 --> 00:13:18.879
said, it's just massive. It's an enormous complex.

00:13:19.620 --> 00:13:22.340
Second, it's not made of just one thing. It's

00:13:22.340 --> 00:13:25.179
a messy mixture of RNA and protein, which makes

00:13:25.179 --> 00:13:27.799
its chemistry very complicated. Okay. And third,

00:13:28.019 --> 00:13:30.120
and this is the real killer, it's incredibly

00:13:30.120 --> 00:13:33.879
flexible. It has to move to do its job. So trying

00:13:33.879 --> 00:13:36.059
to get millions of these things to sit perfectly

00:13:36.059 --> 00:13:38.200
still on a crystal was, and I'm not exaggerating,

00:13:38.259 --> 00:13:41.059
like trying to stack a million live jellyfish

00:13:41.059 --> 00:13:43.460
into a perfect pyramid. They just slide and wobble.

00:13:43.529 --> 00:13:45.470
Squashed. They squash. They don't cooperate.

00:13:45.830 --> 00:13:48.370
And if your molecules are wobbling even a tiny

00:13:48.370 --> 00:13:51.009
bit in the crystal, your X -ray picture is just

00:13:51.009 --> 00:13:54.470
a blurry mess. You get nothing. Worse than nothing.

00:13:54.470 --> 00:13:57.070
You just get noise. So she spends how long? How

00:13:57.070 --> 00:13:59.190
many years is she trying to stack these jellyfish?

00:13:59.450 --> 00:14:02.950
Almost 20 years. 20 years. From the time she

00:14:02.950 --> 00:14:05.350
seriously started the project in the late 70s

00:14:05.350 --> 00:14:07.470
until she published the final high resolution

00:14:07.470 --> 00:14:10.029
structure, it was a two decade long journey.

00:14:10.509 --> 00:14:12.889
That's an entire scientific career for most people.

00:14:12.990 --> 00:14:14.850
For a lot of that time, she was just fighting

00:14:14.850 --> 00:14:17.610
constant failure. She had managed to grow some

00:14:17.610 --> 00:14:20.929
crystals, but they'd be tiny and flawed. Or they

00:14:20.929 --> 00:14:22.909
would dissolve as soon as she looked at them.

00:14:23.029 --> 00:14:25.850
Or, and this was the big one, the X -rays themselves

00:14:25.850 --> 00:14:28.929
would destroy them. Ah, right. That's the other

00:14:28.929 --> 00:14:31.110
problem here, isn't it? The tool you're using

00:14:31.110 --> 00:14:33.669
to see the thing is also the tool that's destroying

00:14:33.669 --> 00:14:36.970
it. It's the ultimate catch -22 of crystallography.

00:14:37.529 --> 00:14:40.629
To see the atoms clearly, you need a really powerful

00:14:40.629 --> 00:14:43.950
high -energy X -ray beam. But high -energy X

00:14:43.950 --> 00:14:46.429
-rays are ionizing radiation. They literally

00:14:46.429 --> 00:14:49.450
cook biological matter. They snap chemical bonds.

00:14:49.769 --> 00:14:52.710
So the very act of taking the picture is incinerating

00:14:52.710 --> 00:14:54.789
your subject. Precisely. You'd turn on the beam,

00:14:54.909 --> 00:14:56.629
you'd get maybe a split second of data, and then

00:14:56.629 --> 00:14:58.529
your beautiful, precious crystal would just turn

00:14:58.529 --> 00:15:00.789
to mush. You could never collect enough data

00:15:00.789 --> 00:15:03.149
from a single crystal to build the full 3D model.

00:15:03.350 --> 00:15:05.789
It really seemed like a fundamental law of physics

00:15:05.789 --> 00:15:08.350
was standing in their way. And this is the moment

00:15:08.350 --> 00:15:11.289
where Ada Yonath stops being just a persistent,

00:15:11.470 --> 00:15:14.029
stubborn scientist and becomes a true inventor.

00:15:14.250 --> 00:15:16.669
She comes up with a solution that nobody else

00:15:16.669 --> 00:15:20.009
had seriously considered. Cryo -biocrystallography.

00:15:20.190 --> 00:15:23.269
She freezes it. It sounds so simple when you

00:15:23.269 --> 00:15:25.350
say it like that, right? If the thing is burning

00:15:25.350 --> 00:15:28.570
up, just cool it down. But it's not as simple

00:15:28.570 --> 00:15:31.190
as putting it in your kitchen freezer. What happens

00:15:31.190 --> 00:15:33.960
when you freeze water normally? It turns into

00:15:33.960 --> 00:15:37.200
ice. It turns into ice and ice expands. And more

00:15:37.200 --> 00:15:40.100
importantly, ice crystals are sharp, jagged things.

00:15:40.299 --> 00:15:43.179
Yeah. If you let sharp ice crystals form inside

00:15:43.179 --> 00:15:45.899
your delicate, perfectly ordered ribosome crystal.

00:15:46.139 --> 00:15:47.860
It would shatter it from the inside out. And

00:15:47.860 --> 00:15:50.259
a grenade going off inside it. So you can't have

00:15:50.259 --> 00:15:52.840
ice, but you still have to be frozen solid. That

00:15:52.840 --> 00:15:54.679
sounds like a paradox. It is, but she solved

00:15:54.679 --> 00:15:57.539
it. The solution is called vitrification. You

00:15:57.539 --> 00:16:00.039
have to cool the crystal so incredibly fast,

00:16:00.120 --> 00:16:02.059
we're talking about flash freezing, that the

00:16:02.059 --> 00:16:04.039
water molecules literally don't have time to

00:16:04.039 --> 00:16:06.100
arrange themselves into the structure of an ice

00:16:06.100 --> 00:16:07.820
crystal. They just stop moving right where they

00:16:07.820 --> 00:16:10.860
are. So the water becomes a solid, but without

00:16:10.860 --> 00:16:14.059
the crystal structure. It forms a glass, a solid

00:16:14.059 --> 00:16:17.379
amorphous state. She developed this whole technique

00:16:17.379 --> 00:16:19.980
of looping out a crystal and plunging it into

00:16:19.980 --> 00:16:22.679
liquid nitrogen or liquid propane at incredibly

00:16:22.679 --> 00:16:25.700
specific speeds and temperatures to achieve this

00:16:25.700 --> 00:16:28.340
glassy state. And what she discovered was that

00:16:28.340 --> 00:16:30.720
at these cryogenic temperatures, we're talking

00:16:30.720 --> 00:16:34.200
around minus 185 degrees Celsius, the crystals

00:16:34.200 --> 00:16:36.379
became incredibly tough. They could withstand

00:16:36.379 --> 00:16:38.600
the radiation. They could take the full blast

00:16:38.600 --> 00:16:41.340
of the X -ray beam for much, much longer, long

00:16:41.340 --> 00:16:43.899
enough finally to collect a complete data set.

00:16:44.220 --> 00:16:46.259
And this technique, this wasn't just a solution

00:16:46.259 --> 00:16:48.740
for her ribosome problem. No, this was a revolution

00:16:48.740 --> 00:16:51.820
for the entire field. Suddenly, all those other

00:16:51.820 --> 00:16:55.019
impossible large structures, huge viruses, complex

00:16:55.019 --> 00:16:57.879
enzyme assemblies, they all became possible targets.

00:16:58.159 --> 00:17:00.299
She gave the entire field of structural biology

00:17:00.299 --> 00:17:03.620
a new superpower. So today this is standard practice.

00:17:03.840 --> 00:17:06.359
Oh, completely routine. Every structural biology

00:17:06.359 --> 00:17:09.279
lab in the world uses cryocrystallography now.

00:17:09.440 --> 00:17:11.599
But they use it because she had to invent it

00:17:11.599 --> 00:17:14.519
to solve her own unsolvable problem. So she has

00:17:14.519 --> 00:17:16.539
the method. She can freeze the crystals. She

00:17:16.539 --> 00:17:18.119
can hit them with the beam. She can collect the

00:17:18.119 --> 00:17:20.500
data. And then finally, around the years 2000

00:17:20.500 --> 00:17:23.940
and 2001, she gets the picture. She gets the

00:17:23.940 --> 00:17:27.660
picture. She publishes the complete high -resolution

00:17:27.660 --> 00:17:30.920
atomic structures of both of the ribosomal subunits.

00:17:31.039 --> 00:17:32.799
Wait, there are two parts to it. That's right.

00:17:32.900 --> 00:17:35.279
The ribosome is made of two pieces that clamp

00:17:35.279 --> 00:17:38.460
together. There's a small subunit whose job is

00:17:38.460 --> 00:17:41.160
to read and decode the RNA instruction sheet.

00:17:41.319 --> 00:17:43.440
And then there's a large subunit, which is the

00:17:43.440 --> 00:17:46.099
part that actually builds the new protein chain.

00:17:46.319 --> 00:17:48.480
She mapped both of them. So the 20 -year quest

00:17:48.480 --> 00:17:51.220
is over. She opens up the black box. And when

00:17:51.220 --> 00:17:54.599
she looks at this map, this 3D landscape of atoms,

00:17:54.740 --> 00:17:57.700
what does she see? What were the big aha moments?

00:17:57.980 --> 00:18:00.859
The biggest, most profound discovery was deep

00:18:00.859 --> 00:18:04.069
inside the core of the large subunit. She found

00:18:04.069 --> 00:18:06.869
this one specific pocket, a region she called

00:18:06.869 --> 00:18:09.390
the universal symmetrical region. Universal as

00:18:09.390 --> 00:18:11.930
in, it's in everything. As in, it is identical

00:18:11.930 --> 00:18:14.309
in you, in me, in the bacteria on your skin,

00:18:14.529 --> 00:18:17.750
in a yeast cell, in an elephant, in a tree. It

00:18:17.750 --> 00:18:20.130
has not changed in billions of years of evolution.

00:18:20.430 --> 00:18:22.410
That implies that it must be the oldest part,

00:18:22.549 --> 00:18:25.319
the original engine. That's exactly what it implies.

00:18:25.660 --> 00:18:28.740
She had very likely found the protoribosome,

00:18:28.880 --> 00:18:31.259
the ancient original machine that first allowed

00:18:31.259 --> 00:18:34.079
life to reliably build proteins from a set of

00:18:34.079 --> 00:18:36.579
instructions. It's like finding a fossil, but

00:18:36.579 --> 00:18:38.619
it's a molecular fossil from the dawn of life.

00:18:38.759 --> 00:18:41.440
That gives me chills. She's literally looking

00:18:41.440 --> 00:18:44.920
at a piece of machinery that is maybe three billion

00:18:44.920 --> 00:18:48.140
years old. And that's not all. This region revealed

00:18:48.140 --> 00:18:50.920
something else that settled a huge, longstanding

00:18:50.920 --> 00:18:54.019
debate in biology. For years, scientists had

00:18:54.019 --> 00:18:55.940
argued about what was actually doing the work

00:18:55.940 --> 00:18:58.579
in the ribosome. Was it the proteins in the complex

00:18:58.579 --> 00:19:00.799
or was it the RNA? The smart money would have

00:19:00.799 --> 00:19:02.200
been on the proteins, right? I mean, proteins

00:19:02.200 --> 00:19:04.579
are the workers of the cell. All the enzymes

00:19:04.579 --> 00:19:07.039
that do chemistry are proteins. That was the

00:19:07.039 --> 00:19:09.960
central dogma. But what Ada's structure showed

00:19:09.960 --> 00:19:13.519
with irrefutable clarity was that in the absolute

00:19:13.519 --> 00:19:15.779
heart of the machine, the spot where the new

00:19:15.779 --> 00:19:18.200
chemical bonds are actually being formed to link

00:19:18.200 --> 00:19:21.359
the protein chain together. There are no proteins.

00:19:21.539 --> 00:19:24.359
None at all. It's all RNA. So the RNA is the

00:19:24.359 --> 00:19:27.140
engine. The RNA is the engine. The proteins are

00:19:27.140 --> 00:19:29.140
just the scaffolding on the outside holding it

00:19:29.140 --> 00:19:32.019
all in the right shape. She proved definitively

00:19:32.019 --> 00:19:35.880
that the ribosome is a ribosome, an enzyme made

00:19:35.880 --> 00:19:38.680
of RNA. This completely flips the script on the

00:19:38.680 --> 00:19:40.799
old chicken or the egg problem of the origin

00:19:40.799 --> 00:19:42.960
of life. It's the strongest evidence we have

00:19:42.960 --> 00:19:46.039
for the RNA world hypothesis. The idea that early

00:19:46.039 --> 00:19:49.289
in life's history, RNA came first. RNA was the

00:19:49.289 --> 00:19:51.529
molecule that could both store information like

00:19:51.529 --> 00:19:55.069
DNA and do chemical work like a protein. DNA

00:19:55.069 --> 00:19:57.250
and proteins evolved later. And he also found

00:19:57.250 --> 00:20:00.529
a tunnel. The source material mentions the ribosomal

00:20:00.529 --> 00:20:03.789
tunnel. Ah, yes, the tunnel. I love this part.

00:20:04.130 --> 00:20:07.049
Describe what that is. So as the ribosome is

00:20:07.049 --> 00:20:09.329
knitting together these amino acids one by one,

00:20:09.369 --> 00:20:11.789
it's creating a long growing chain, a little

00:20:11.789 --> 00:20:14.170
protein tail. And that tail has to go somewhere

00:20:14.170 --> 00:20:17.109
while it's being made. Yoneth's structure revealed

00:20:17.109 --> 00:20:20.009
a physical tunnel about 100 angstroms long that

00:20:20.009 --> 00:20:22.210
runs right through the middle of the large subunit.

00:20:22.230 --> 00:20:24.309
It's the exit chute. It's like a birth canal

00:20:24.309 --> 00:20:26.829
for every new protein. It is exactly like a birth

00:20:26.829 --> 00:20:29.230
canal. But what she found later in even more

00:20:29.230 --> 00:20:31.690
detailed studies is that it's not just a passive

00:20:31.690 --> 00:20:34.190
pipe. The walls of the tunnel are active. They

00:20:34.190 --> 00:20:37.230
have gating mechanisms. The tunnel actually interacts

00:20:37.230 --> 00:20:39.589
with the new protein as it passes through. So

00:20:39.589 --> 00:20:42.000
it can... What, check the protein for quality?

00:20:42.299 --> 00:20:44.539
It can pause the whole process. It plays a role

00:20:44.539 --> 00:20:47.359
in regulation. She showed that there are dynamic

00:20:47.359 --> 00:20:49.319
elements in the tunnel involved in something

00:20:49.319 --> 00:20:52.420
called elongation arrest. It's an intelligent

00:20:52.420 --> 00:20:55.660
tunnel. It can sense what it's making and tell

00:20:55.660 --> 00:20:57.839
the factory floor to stop if there's a problem.

00:20:58.039 --> 00:21:00.940
That's unbelievably sophisticated. And we only

00:21:00.940 --> 00:21:02.619
know any of this because you figured out how

00:21:02.619 --> 00:21:04.319
to freeze it and take its picture. We had no

00:21:04.319 --> 00:21:07.099
idea before that. Okay, so... We've got the origin

00:21:07.099 --> 00:21:09.319
of life. We've got the RNA world. We've got this

00:21:09.319 --> 00:21:11.400
intelligent protein tunnel. This is obviously

00:21:11.400 --> 00:21:14.880
huge for fundamental basic science. But you said

00:21:14.880 --> 00:21:16.880
at the beginning that this work also transformed

00:21:16.880 --> 00:21:19.799
medicine. How do we get from a frozen crystal

00:21:19.799 --> 00:21:23.180
in a lab in Israel to, you know, a pill that

00:21:23.180 --> 00:21:25.180
I take for strep throat? This is where the story

00:21:25.180 --> 00:21:27.140
becomes incredibly practical. This brings us

00:21:27.140 --> 00:21:30.299
to antibiotics. We all take them, but I would

00:21:30.299 --> 00:21:32.319
guess most people have no idea how they actually

00:21:32.319 --> 00:21:35.160
work on a molecular level. Well, a huge class

00:21:35.160 --> 00:21:37.259
of our most important antibiotics, things like

00:21:37.259 --> 00:21:39.700
erythromycin, which is in the Z -Pak you take,

00:21:39.920 --> 00:21:42.759
clindamycin, tetracyclines, they all work by

00:21:42.759 --> 00:21:45.779
doing one thing. They attack the ribosome. They

00:21:45.779 --> 00:21:48.500
shut down the bacteria's protein factory. Exactly.

00:21:48.920 --> 00:21:51.160
If you shut down the factory, the bacteria can't

00:21:51.160 --> 00:21:53.240
build new parts. It can't repair itself. It can't

00:21:53.240 --> 00:21:56.059
reproduce. It just dies. But here's the obvious

00:21:56.059 --> 00:21:59.700
question. I have ribosomes. You have ribosomes.

00:22:00.200 --> 00:22:02.859
Trillions of them. Why doesn't the Z -Pak shut

00:22:02.859 --> 00:22:05.619
down my protein factories and kill me? That is

00:22:05.619 --> 00:22:08.380
the multi -billion dollar question in pharmacology.

00:22:08.500 --> 00:22:11.500
It's called selectivity. And for decades before

00:22:11.500 --> 00:22:13.579
Yonath, we knew that it worked, but we didn't

00:22:13.579 --> 00:22:15.019
really know why it worked. It was a bit of a

00:22:15.019 --> 00:22:16.980
mystery. We just knew through trial and error,

00:22:17.079 --> 00:22:19.640
this chemical kills bacteria, but it doesn't

00:22:19.640 --> 00:22:21.960
kill human cells. And Yonath's structure showed

00:22:21.960 --> 00:22:24.680
us the why. She showed us the why at the atomic

00:22:24.680 --> 00:22:27.240
level. She demonstrated that while that deep

00:22:27.240 --> 00:22:30.500
universal core is the same in all life, the outer

00:22:30.500 --> 00:22:32.500
parts of the ribosome, the parts that are more

00:22:32.500 --> 00:22:35.279
exposed, have tiny but significant structural

00:22:35.279 --> 00:22:38.799
differences between bacteria and humans. So the

00:22:38.799 --> 00:22:41.640
lock on the bacterial ribosome is a slightly

00:22:41.640 --> 00:22:44.500
different shape from the lock on the human ribosome.

00:22:44.599 --> 00:22:46.720
That's the perfect way to put it. And an antibiotic

00:22:46.720 --> 00:22:49.279
molecule is like a key that is shaped to fit

00:22:49.279 --> 00:22:52.630
only the bacterial lock. Yoneth went on to map

00:22:52.630 --> 00:22:55.009
the exact binding sites of over 20 different

00:22:55.009 --> 00:22:58.289
antibiotics. She showed us precisely where the

00:22:58.289 --> 00:23:00.730
drug molecule wedges itself into the bacterial

00:23:00.730 --> 00:23:03.450
ribosome's machinery to jam the gears. She showed

00:23:03.450 --> 00:23:05.170
us where to stick the wrench. Not just that.

00:23:05.549 --> 00:23:07.410
Even more importantly, she showed us how the

00:23:07.410 --> 00:23:10.440
gears learn to fight back. She illuminated the

00:23:10.440 --> 00:23:12.799
mechanisms of antibiotic resistance. Which is

00:23:12.799 --> 00:23:14.720
the huge crisis we're facing now where the drugs

00:23:14.720 --> 00:23:16.980
stop working. Right. And because we now have

00:23:16.980 --> 00:23:19.259
the high -resolution structure, we can see resistance

00:23:19.259 --> 00:23:22.000
happening at an atomic level. For example, a

00:23:22.000 --> 00:23:24.880
bacteria might evolve to change one single atom

00:23:24.880 --> 00:23:27.240
on the wall of the ribosomal tunnel. Just one

00:23:27.240 --> 00:23:29.940
tiny change. And suddenly the drug doesn't fit

00:23:29.940 --> 00:23:32.079
anymore. Suddenly the drug can't latch on as

00:23:32.079 --> 00:23:34.660
tightly. It just slips off. The wrench can't

00:23:34.660 --> 00:23:39.119
get a grip. So resistance is just... a tiny structural

00:23:39.119 --> 00:23:42.740
renovation project by the bacteria. It's molecular

00:23:42.740 --> 00:23:44.980
redecorating to kick out the unwelcome guest.

00:23:45.259 --> 00:23:48.119
And this is the game changer. Because Yonath

00:23:48.119 --> 00:23:50.660
gave us the blueprint, drug companies can now

00:23:50.660 --> 00:23:53.700
look at that newly renovated resistant ribosome

00:23:53.700 --> 00:23:56.640
and say, okay, the bacteria changed this part

00:23:56.640 --> 00:23:58.819
of the lock. Let's go back to the lab and design

00:23:58.819 --> 00:24:01.660
a brand new key that fits this new lock. This

00:24:01.660 --> 00:24:04.220
is what they call structure -based drug design.

00:24:04.569 --> 00:24:06.430
That's it. It takes so much of the guesswork

00:24:06.430 --> 00:24:08.289
out of it. Instead of just randomly screening

00:24:08.289 --> 00:24:10.650
thousands of chemicals in a petri dish, hoping

00:24:10.650 --> 00:24:13.230
one works, it becomes a rational engineering

00:24:13.230 --> 00:24:15.950
problem. You can literally design a new drug

00:24:15.950 --> 00:24:18.430
on a computer to fit perfectly into the target

00:24:18.430 --> 00:24:20.869
pocket you can now see. So you can design drugs

00:24:20.869 --> 00:24:23.529
that are more powerful or that specifically overcome

00:24:23.529 --> 00:24:26.549
known resistance mechanisms. Exactly. So if you

00:24:26.549 --> 00:24:28.890
or anyone you know has been cured of a nasty

00:24:28.890 --> 00:24:31.650
bacterial infection in the last 20 years, you

00:24:31.650 --> 00:24:34.289
owe a direct debt of gratitude to Ada Yanis'

00:24:34.369 --> 00:24:37.109
decades of work in that lab. It's just the ultimate

00:24:37.109 --> 00:24:39.789
vindication, isn't it? The formidable, impossible

00:24:39.789 --> 00:24:42.269
project that everyone told her would be a waste

00:24:42.269 --> 00:24:45.769
of time ends up providing the tools to save millions

00:24:45.769 --> 00:24:47.920
of lives. And, you know, the world eventually

00:24:47.920 --> 00:24:50.799
caught on. It took a while. But in 2009, the

00:24:50.799 --> 00:24:53.599
phone call finally came from Stockholm. The Nobel

00:24:53.599 --> 00:24:55.980
Prize in Chemistry. She shared it with two other

00:24:55.980 --> 00:24:58.960
scientists, Venkatraman Ramakrishnan and Thomas

00:24:58.960 --> 00:25:01.640
Stites, who also did incredible work on the ribosome.

00:25:02.220 --> 00:25:05.160
But her win was especially historic for a number

00:25:05.160 --> 00:25:07.240
of reasons. Let's run through the stats on this

00:25:07.240 --> 00:25:10.140
because they're pretty staggering. OK, so she

00:25:10.140 --> 00:25:13.240
was the first Israeli woman. ever to win a Nobel

00:25:13.240 --> 00:25:15.940
Prize in any category. Wow. She was the first

00:25:15.940 --> 00:25:17.859
woman from anywhere in the Middle East to win

00:25:17.859 --> 00:25:20.319
a Nobel Prize in the sciences. That is a huge

00:25:20.319 --> 00:25:22.799
milestone for the region. But look at the gender

00:25:22.799 --> 00:25:25.880
gap in her specific field. This one is amazing.

00:25:26.119 --> 00:25:29.059
She was the first woman in 45 years to win the

00:25:29.059 --> 00:25:31.980
Nobel Prize in chemistry. 45 years? Are you serious?

00:25:32.259 --> 00:25:34.980
The last woman to win it before her was Dorothy

00:25:34.980 --> 00:25:38.880
Hodgkin, all the way back in 1964. That is just

00:25:38.880 --> 00:25:41.549
a staggeringly long drought. It really puts into

00:25:41.549 --> 00:25:44.089
perspective what she was up against. The kind

00:25:44.089 --> 00:25:47.170
of boys club that field must have been for decades.

00:25:47.490 --> 00:25:49.730
She didn't just break the glass ceiling. She

00:25:49.730 --> 00:25:52.779
crystallized it and shot x -rays at it. And it

00:25:52.779 --> 00:25:55.000
wasn't just the Nobel, was it? The awards just

00:25:55.000 --> 00:25:57.960
started pouring in. She essentially won every

00:25:57.960 --> 00:26:00.759
major prize there is to win in science. Pretty

00:26:00.759 --> 00:26:03.539
much. The Wolf Prize, which is a huge honor.

00:26:03.720 --> 00:26:07.480
The Harvey Prize. The L 'Oreal UNESCO Award for

00:26:07.480 --> 00:26:10.160
Women in Science. Even Pope Francis got in on

00:26:10.160 --> 00:26:12.700
it. He named her as a member of the Pontifical

00:26:12.700 --> 00:26:15.799
Academy of Sciences in 2014. Which is a fascinating

00:26:15.799 --> 00:26:18.339
appointment for a Jewish scientist from Israel.

00:26:18.559 --> 00:26:21.220
It just shows that great science transcends all

00:26:21.220 --> 00:26:23.549
of those borders. And the honorary doctorates,

00:26:23.630 --> 00:26:25.930
she has them from all over the world, France,

00:26:26.210 --> 00:26:29.349
Poland, the UK, the Philippines. And in a really

00:26:29.349 --> 00:26:31.490
nice full circle moment, Carnegie Mellon, where

00:26:31.490 --> 00:26:34.269
she was just a visiting postdoc back in 69, gave

00:26:34.269 --> 00:26:36.970
her an honorary doctorate in 2018. From a visiting

00:26:36.970 --> 00:26:39.069
researcher to a living legend. It's a pretty

00:26:39.069 --> 00:26:41.009
amazing arc. We've spent a lot of time on the

00:26:41.009 --> 00:26:43.269
scientist and rightly so. But I want to spend

00:26:43.269 --> 00:26:46.869
a minute on the person because she isn't just

00:26:46.869 --> 00:26:49.690
a brain in a lab. She's a mother, a grandmother.

00:26:49.869 --> 00:26:52.910
Yes, she has. One daughter, Hajit Yonath, who

00:26:52.910 --> 00:26:55.670
is a doctor at a major Israeli hospital. So the

00:26:55.670 --> 00:26:57.549
healing profession clearly runs in the family.

00:26:57.690 --> 00:27:00.190
And she has a granddaughter named Noah. And she's

00:27:00.190 --> 00:27:03.630
also someone who lives in a very complex and

00:27:03.630 --> 00:27:06.890
fraught part of the world. She's in Israel. And

00:27:06.890 --> 00:27:09.190
she hasn't been silent about her views on the

00:27:09.190 --> 00:27:11.829
political situation there. No, she hasn't. And

00:27:11.829 --> 00:27:13.390
we should be careful here just to report what

00:27:13.390 --> 00:27:16.210
the sources say her stance is, not to interpret

00:27:16.210 --> 00:27:18.490
it. But yes, she has been quite vocal about the

00:27:18.490 --> 00:27:20.869
Israeli -Palestinian conflict, specifically on

00:27:20.869 --> 00:27:23.109
the issue of prisoners. And what is her stated

00:27:23.109 --> 00:27:25.849
position? She has publicly called for the unconditional

00:27:25.849 --> 00:27:29.109
release of all Palestinian prisoners held by

00:27:29.109 --> 00:27:31.849
Israel. That is a very controversial stance to

00:27:31.849 --> 00:27:33.750
take within Israel, I would imagine. What's her

00:27:33.750 --> 00:27:36.029
reasoning? Her logic seems to be very pragmatic,

00:27:36.190 --> 00:27:39.109
actually. It's almost scientific. She looks at

00:27:39.109 --> 00:27:41.670
the mechanism of the conflict. She argues that

00:27:41.670 --> 00:27:44.009
as long as Israel holds Palestinian prisoners,

00:27:44.369 --> 00:27:47.410
it provides a powerful motivation for militant

00:27:47.410 --> 00:27:50.109
groups to kidnap Israeli soldiers. To use them

00:27:50.109 --> 00:27:51.829
as bargaining chips. To use them as bargaining

00:27:51.829 --> 00:27:55.069
chips for a prisoner exchange. Exactly. So her

00:27:55.069 --> 00:27:57.609
argument is if you remove the prisoners from

00:27:57.609 --> 00:28:00.309
the equation, you remove the primary incentive

00:28:00.309 --> 00:28:03.069
for kidnapping. The quote from her is, once we

00:28:03.069 --> 00:28:05.269
don't have any prisoners to release, they will

00:28:05.269 --> 00:28:08.890
have no reason to kidnap soldiers. Yes. And whether

00:28:08.890 --> 00:28:11.000
you agree or disagree. with that geopolitical

00:28:11.000 --> 00:28:13.180
analysis, it's fascinating to see that same kind

00:28:13.180 --> 00:28:15.859
of thinking. She looks at a complex system, a

00:28:15.859 --> 00:28:18.319
cycle of violence, and she asks, what is the

00:28:18.319 --> 00:28:20.740
underlying mechanism driving this? How can we

00:28:20.740 --> 00:28:22.940
break the machine? It's the same mind that looked

00:28:22.940 --> 00:28:26.259
at the ribosome. Exactly. In the lab, she debugs

00:28:26.259 --> 00:28:28.880
the ribosome's translation process. In the world,

00:28:28.960 --> 00:28:31.140
she tries to debug the incentive structure of

00:28:31.140 --> 00:28:33.339
conflict. It's also worth noting that activism

00:28:33.339 --> 00:28:36.539
seems to run in the family. Her cousin is Rukama

00:28:36.539 --> 00:28:39.670
Martin, a very famous Israeli anti - occupation

00:28:39.670 --> 00:28:42.109
activist. So we've gone on this journey from

00:28:42.109 --> 00:28:44.569
a little girl reading books in a crowded Jerusalem

00:28:44.569 --> 00:28:47.809
apartment to a Nobel laureate who mapped the

00:28:47.809 --> 00:28:51.089
atomic machinery of life. When you step back

00:28:51.089 --> 00:28:53.210
from all the details, from the x -rays and the

00:28:53.210 --> 00:28:55.869
cryo cooling, what's the big takeaway for you

00:28:55.869 --> 00:28:58.680
from her story? For me, it's a profound lesson

00:28:58.680 --> 00:29:01.460
about the importance of basic science. What do

00:29:01.460 --> 00:29:03.640
you mean by that? Ada Yonath didn't start this

00:29:03.640 --> 00:29:06.160
project because she wanted to invent a better

00:29:06.160 --> 00:29:09.059
antibiotic. She wasn't trying to cure anything.

00:29:09.240 --> 00:29:12.400
She was driven by pure, fundamental curiosity.

00:29:12.859 --> 00:29:16.039
She just wanted to know. What does this beautiful

00:29:16.039 --> 00:29:19.059
essential machine look like? She was chasing

00:29:19.059 --> 00:29:21.819
knowledge for its own sake. Yes. And today, you

00:29:21.819 --> 00:29:23.980
know, funding agencies and governments, they're

00:29:23.980 --> 00:29:26.460
often so focused on applied science. They want

00:29:26.460 --> 00:29:28.579
to know if we give you this research grant, what

00:29:28.579 --> 00:29:30.579
product will we have in three years? What's the

00:29:30.579 --> 00:29:32.940
immediate return on investment? And if Jonas

00:29:32.940 --> 00:29:35.259
had to answer that question in 1980, she would

00:29:35.259 --> 00:29:37.180
have had nothing. She would have had nothing

00:29:37.180 --> 00:29:39.319
to say. She was just trying to take a picture

00:29:39.319 --> 00:29:42.359
of a jellyfish pyramid. But because she was allowed

00:29:42.359 --> 00:29:45.579
to pursue that useless fundamental question for

00:29:45.579 --> 00:29:49.200
20 years, we got the cures. We got the new drugs.

00:29:49.500 --> 00:29:51.519
The applications follow the understanding. They

00:29:51.519 --> 00:29:54.480
have to. You cannot fix what you do not understand.

00:29:54.740 --> 00:29:57.079
You have to be willing to do the deep, slow,

00:29:57.299 --> 00:30:00.160
patient work of just figuring out how nature

00:30:00.160 --> 00:30:02.259
works first. And the other takeaway has to be

00:30:02.259 --> 00:30:05.980
just that. Yeah. That resilience, that stubbornness

00:30:05.980 --> 00:30:08.240
we talked about. Oh, absolutely. The obstacles

00:30:08.240 --> 00:30:11.279
were just, as we said, formidable. She was a

00:30:11.279 --> 00:30:14.140
woman in a deeply male -dominated field. She

00:30:14.140 --> 00:30:15.920
was working in a small country, scientifically

00:30:15.920 --> 00:30:19.380
isolated, far from the big, powerful synchrotrons

00:30:19.380 --> 00:30:21.960
in Europe and the U .S. And she was working on

00:30:21.960 --> 00:30:24.200
a problem that literally everyone who mattered

00:30:24.200 --> 00:30:26.599
said was impossible. She had every single excuse

00:30:26.599 --> 00:30:29.200
to quit. Any rational person would have quit.

00:30:29.660 --> 00:30:32.039
But she didn't. She just froze the problem until

00:30:32.039 --> 00:30:33.940
it stopped moving and she could finally solve

00:30:33.940 --> 00:30:35.960
it. You know, it makes me look at the world,

00:30:36.039 --> 00:30:39.440
at my own body, so differently. I just keep thinking

00:30:39.440 --> 00:30:42.019
about that ribosomal tunnel. Right now, as we're

00:30:42.019 --> 00:30:44.440
speaking, in every single one of the trillions

00:30:44.440 --> 00:30:47.559
of cells in my body, there are millions of these

00:30:47.559 --> 00:30:50.140
little machines just humming along, reading the

00:30:50.140 --> 00:30:52.640
tape, knitting proteins, pushing them out through

00:30:52.640 --> 00:30:55.380
that little tunnel. It's a constant, silent symphony

00:30:55.380 --> 00:30:57.440
happening in the dark. And for three billion

00:30:57.440 --> 00:31:01.730
years, It was completely in the dark until A

00:31:01.730 --> 00:31:03.750
.D. Yonath finally figured out how to turn on

00:31:03.750 --> 00:31:05.410
the light. That's a beautiful way to put it.

00:31:05.529 --> 00:31:07.329
So here's the thought I want to leave our listeners

00:31:07.329 --> 00:31:10.769
with. A .D. Yonath looked at the ribosome, which

00:31:10.769 --> 00:31:13.430
was the impossible structure of her day, and

00:31:13.430 --> 00:31:16.210
she invented a new way to see it using cryotechnology.

00:31:17.630 --> 00:31:21.349
My question is, what is the next ribosome? What

00:31:21.349 --> 00:31:23.670
do you mean by that? I mean, what is the enormous,

00:31:23.710 --> 00:31:26.950
complex, messy biological structure or process

00:31:26.950 --> 00:31:29.230
that we are all ignoring right now because it's

00:31:29.230 --> 00:31:31.309
just considered too hard? What's the thing that

00:31:31.309 --> 00:31:33.329
the scientific community is telling young, stubborn

00:31:33.329 --> 00:31:35.910
scientists, don't bother with that, you'll fail?

00:31:36.450 --> 00:31:39.329
The physical basis of consciousness in the brain,

00:31:39.369 --> 00:31:41.849
maybe. The actual structures that hold a memory.

00:31:42.130 --> 00:31:45.329
Or the precise, tangled mechanisms of aging.

00:31:45.630 --> 00:31:48.049
The impossible is only impossible until someone

00:31:48.049 --> 00:31:50.690
stubborn enough comes along and invents a new

00:31:50.690 --> 00:31:53.390
kind of lens. Or a new kind of freezer. A .D.

00:31:53.390 --> 00:31:57.069
Yonath cracked the code of life's factory. Who

00:31:57.069 --> 00:31:59.170
is sitting in a classroom somewhere right now,

00:31:59.329 --> 00:32:01.869
maybe struggling to pay their tuition, who's

00:32:01.869 --> 00:32:04.630
dreaming of the next great code to crack. I can't

00:32:04.630 --> 00:32:06.769
wait to find out. Thank you for listening to

00:32:06.769 --> 00:32:09.089
this deep dive into the incredible life and science

00:32:09.089 --> 00:32:12.069
of A .D. Yonath. It's a powerful reminder that

00:32:12.069 --> 00:32:14.730
sometimes the biggest discoveries really do come

00:32:14.730 --> 00:32:16.829
from the smallest crystals. And from the most

00:32:16.829 --> 00:32:18.970
persistent minds. We'll see you on the next one.

00:32:19.069 --> 00:32:19.930
Keep exploring.
