AlphaFold changes everything: incorporating predicted models in X-ray and Cryo-EM structure determination"

Pr Thomas C Terwilliger, Los Alamos National Laboratory, New Mexico Consortium

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Le 18/01/2022, de 16:00 à 17:15 (Europe/Berlin / UTC100)

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https://us06web.zoom.us/webinar/register/WN_NHmWj7dpQbiRDq9gLRThpg

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The ability to create an AlphaFold model for any sequence in a few minutes changes every protein crystal structure determination into a molecular replacement problem and every protein cryo-EM structure determination into a docking problem. Making this even more transformative is the ability to iteratively improve AlphaFold modeling by docking an AlphaFold model into density, rebuilding it, and using the rebuilt model as a template for further AlphaFold model generation. These features of AlphaFold will make structure determination by crystallography and cryo-EM easier and more powerful than ever before. Anyone can carry out these steps easily using Phenix and free cloud-based Google Colab notebooks.


Tom Terwilliger is a member of the Phenix software development team and develops tools and algorithms for X-ray crystallography and cryo-EM (http://www.phenix-online.org). He has an AB in Physics from Harvard, a PhD in Molecular Biology from UCLA under David Eisenberg, was a Helen Hay Whitney Fellow at Berkeley with Daniel Koshland, Jr. and a Presidential Young Investigator at the University of Chicago. He is now a Laboratory Fellow at Los Alamos National Laboratory and a Senior Scientist at the New Mexico Consortium.

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Preprint available

Improving AlphaFold modeling using implicit information from experimental density maps

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