In this episode, originally recorded on February 9, 2022,
Roman talks to <a href="https://twitter.com/pedrobeltrao">Pedro Beltrao</a>
about AlphaFold, the software developed by DeepMind that predicts a protein’s
3D structure from its amino acid sequence.

Pedro is an associate professor at ETH Zurich and the coordinator of
the <a href="https://www.nature.com/articles/s41594-022-00849-w">structural biology community assessment of AlphaFold2 applications</a> project,
which involved over 30 scientists from different institutions.

Pedro talks about the origins of the project,
its main findings, the importance of the confidence metric that AlphaFold
assigns to its predictions, and Pedro’s own area of interest — predicting
pockets in proteins and protein-protein interactions.


 

 
 Links:

<ul>
 <li><a href="https://imsb.ethz.ch/research/beltrao.html">Pedro’s group at ETH Zurich</a></li>
</ul>

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#65 AlphaFold and protein interactions with Pedro Beltrao

the bioinformatics chat

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