S1E4 | AlphaFold. 2. Explained. | Charlie Harris.

Deepmind’s work and success in protein structure prediction shows how exciting of a time it is to be part of biology and science in general. AlphaFold 2 is revolutionary, and to help me understand the science behind it, I'm joined by Charlie Harris. Charlie is currently finishing off his masters degree in Bioinformatics and Theoretical Systems Biology at Imperial College London, where he is working with Prof Michael Bronstein looking into generative models for structure based drug design. Charlie is also the chair and founder of the Imperial College Computational Biology Society. He's also about to start a PhD at the University of Cambridge Centre for AI in Medicine.

Links:

-AlphaFold 2 Nature paper: https://www.nature.com/articles/s41586-021-03819-2

-AlphaFold 2 and the EMBL-EBI database Nature paper: https://www.nature.com/articles/s41586-021-03828-1

-Oxford Protein Informatics Group blog: https://www.blopig.com/blog/2021/07/alphafold-2-is-here-whats-behind-the-structure-prediction-miracle/

-Mohammed AlQuraishi AlphaFold 2 blog post: https://moalquraishi.wordpress.com/2021/07/25/the-alphafold2-method-paper-a-fount-of-good-ideas/amp/

-Cambridge Centre for AI in Medicine website: https://ccaim.cam.ac.uk/