World’s Largest Supercomputer v. Biology’s Toughest Problems
The a16z Show
a16z
4.2 • 1.2K Ratings
🗓️ 14 June 2020
⏱️ 33 minutes
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| 0:00.0 | Hello and welcome to the A16Z podcast. I'm Lauren Richardson. Today's episode |
| 0:05.5 | celebrates the 20th anniversary of Folding at home, the Distributed |
| 0:09.4 | Computing Project for Simulating protein dynamics. |
| 0:12.8 | Today, folding at home is run on millions of devices, |
| 0:16.0 | is the world's largest supercomputer, |
| 0:18.4 | and tackle some of biology's toughest problems, |
| 0:21.0 | including COVID-19. |
| 0:23.2 | A16Z General Partner, Vijay Ponde, |
| 0:26.2 | who founded Folding at home in his lab at Stanford, |
| 0:28.8 | joins this episode along with its current director, |
| 0:31.5 | Greg Bowman, an associate professor at Washington University in |
| 0:35.2 | St Louis. |
| 0:36.6 | In this conversation, we discuss the origins of the Folding At Home Project, along with its connection |
| 0:41.2 | to SETI at home and Napster. |
| 0:43.0 | Also, the scientific and technical advances needed to solve the complex protein folding |
| 0:48.0 | and distributed computing problems. |
| 0:50.0 | And importantly, what does understanding protein dynamics actually achieve? |
| 0:55.0 | First, some context into what protein folding is and why it matters. |
| 0:59.0 | Proteins are the main structural and functional molecules in a cell and are produced as a |
| 1:04.3 | linear string of amino acids. But to do their work, this string must first fold into a |
| 1:09.9 | complex three-dimensional structure, aka the folding. As proteins carry out their |
| 1:15.5 | various jobs, they must also change their shape. Folding at home simulates |
... |
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