#65 AlphaFold and protein interactions with Pedro Beltrao

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