ELLIS against Covid-19

Computational predictions of protein structures associated with COVID-19

ellis John Jumper 06 May 2020 - 06 May 2020
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06 May 2020 • 14:15 - 14:30

John Jumper (Google DeepMind)

Some of the ~27 proteins in the coronavirus genome are still uncharacterized in structure and/or function. Experimental protein characterization is a difficult and time-consuming process, so researchers have developed computational methods to predict protein properties solely from readily-available genetic sequences. This talk will describe our and others’ work to predict the 3-D structure of understudied proteins in the SARS-CoV-2 genome, as well as opportunities and challenges in using these structures to understand SARS-CoV-2. Our predicted protein structures are available here, created with an improved version of the AlphaFold algorithm and available under a Creative Commons open source license.

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Thumb ticker john jumper
(Google DeepMind)