Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even where no similar structure is known.
Holy crap. I confess this one catches me by surprise; within my hopes, but beyond my expectations.
The previous AF2 discussions were largely a waste of space because the little abstract they had to provide for CASP14 provided hardly anything to go on. But now we have not just a full writeup but source code and models too! Now I consider it worth discussing.
Holy crap. I confess this one catches me by surprise; within my hopes, but beyond my expectations.
Pretty sure this is the same (impressive) news as from CASP14 ( https://www.blopig.com/blog/2020/12/casp14-what-google-deepminds-alphafold-2-really-achieved-and-what-it-means-for-protein-folding-biology-and-bioinformatics/ ). But with fancier figures (edit: and more technical details of how they made the predictions) :P
The previous AF2 discussions were largely a waste of space because the little abstract they had to provide for CASP14 provided hardly anything to go on. But now we have not just a full writeup but source code and models too! Now I consider it worth discussing.