4.7 β’ 6K Ratings
ποΈ 13 May 2024
β±οΈ 17 minutes
ποΈ Recording | iTunes | RSS
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0:00.0 | This is My voice. I can tell you a lot about me and I'm not changing it for anyone. |
0:07.0 | In NPR's Black Stories, Black Truths, |
0:09.7 | you'll find a collection of NPR episodes centered on black experiences. |
0:13.6 | Search NPR Black Truths, wherever you get your pocket. |
0:17.6 | You're listening to Shortwave from NPR. |
0:27.0 | Hey, shortwave, shortwave, |
0:30.0 | with producer Burley McCoy. What's up Burley? Hey Emily |
0:34.4 | Hello what do you have for us today? Okay so Emily today I want to dig into how AI has |
0:39.4 | shaken up the field of protein science as in the fundamental building blocks of life |
0:44.9 | proteins. I've heard of them. Yeah I mean this is like what you studied back in your |
0:50.3 | scientist days. Yes yes I love proteins. Oh, we love that you love them. How has |
0:55.2 | AI moved the needle in this field though? Well, scientists have used it to dig into a problem that |
1:00.1 | protein scientists have struggled with for more than 60 years and that is |
1:04.8 | what do these building blocks of which there are millions look like like their |
1:10.0 | shape like their shape yeah exactly And why is that so important? |
1:14.0 | Well, the ability of a protein to do its specific job, so like carry oxygen through your body or |
1:19.2 | turn light into sugar, that relies wholly on its unique complicated shape. |
1:24.7 | So to understand how it works, you need to know its shape. |
1:27.6 | But why can't scientists just run an experiment to determine the shape? |
1:31.0 | They can for some proteins, but those experiments can take years and |
1:35.0 | years and Emily. That's because a scientist essentially needs to take the |
1:39.2 | equivalent of a molecular photo of the protein to map its complicated shape. But getting the protein to cooperate |
... |
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