My day job is technical support for basic research in life science, and 
abuts drug discovery, which is targeted work. Below is a note that I sent 
to my colleagues at the end of 2020, when last winter's COVID outbreaks 
were at a terrible high. 

--- note begins ---
This is really interesting work in life science and work in drug discovery, 
driven by computation:

>From <
https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology
>:


*. . . In the meantime, we’re also looking into how protein structure 
predictions could contribute to our understanding of specific diseases with 
a small number of specialist groups, for example by helping to identify 
proteins that have malfunctioned and to reason about how they interact. 
These insights could enable more precise work on drug development, 
complementing existing experimental methods to find promising treatments 
faster.We’ve also seen signs that protein structure prediction could be 
useful in future pandemic response efforts, as one of many tools developed 
by the scientific community. Earlier this year, we predicted several 
protein structures of the SARS-CoV-2 virus, including ORF3a, whose 
structures were previously unknown. At CASP14, we predicted the structure 
of another coronavirus protein, ORF8. Impressively quick work by 
experimentalists has now confirmed the structures of both ORF3a and ORF8. 
Despite their challenging nature and having very few related sequences, we 
achieved a high degree of accuracy on both of our predictions when compared 
to their experimentally determined structures.*

An associated video:
<https://www.youtube.com/watch?v=W7wJDJ56c88>

--- note ends ---

>

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