[phenixbb] alpha-Fold 2?

Jim Fairman fairman.jim at gmail.com
Mon Nov 30 11:54:22 PST 2020

For the most challenging proteins, AlphaFold scored a median of 87, 25
points above the next best predictions.* It even excelled at solving
structures of proteins that sit wedged in cell membranes, which are central
to many human diseases but notoriously difficult to solve with x-ray
crystallography.* Venki Ramakrishnan, a structural biologist at the Medical
Research Council Laboratory of Molecular Biology, calls the result “a
stunning advance on the protein folding problem.”

Jim Fairman
C: 1-240-479-6575

On Mon, Nov 30, 2020 at 10:25 AM lbetts0508 <laurie.betts0508 at gmail.com>

> all - I just read the blurb in Nature Briefing about the DeepMind AI
> having made a big advance in the CASP protein fold prediction.
> Does it sound really transformational, does it work for membrane proteins
> - all the usual questions come to mind.
> Do we know enough yet about it?
> Signed an old protein crystallographer, L. Betts
> _______________________________________________
> phenixbb mailing list
> phenixbb at phenix-online.org
> http://phenix-online.org/mailman/listinfo/phenixbb
> Unsubscribe: phenixbb-leave at phenix-online.org
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://phenix-online.org/pipermail/phenixbb/attachments/20201130/d229519c/attachment.htm>

More information about the phenixbb mailing list