?Does anyone know how AlphaFold performs on sequences with little conservation? 
Virus and phage proteins are like this. Their structures are homologous, but 
sequence identity can be less than 10%.


Reza


Reza Khayat, PhD
Associate Professor
City College of New York
Department of Chemistry and Biochemistry
New York, NY 10031
________________________________
From: CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> on behalf of Anastassis 
Perrakis <a.perra...@nki.nl>
Sent: Thursday, December 3, 2020 5:31 PM
To: CCP4BB@JISCMAIL.AC.UK
Subject: [EXTERNAL] Re: [ccp4bb] AlphaFold: more thinking and less pipetting (?)

AlphaFold - or similar ideas that will surface up sooner or later - will beyond 
doubt have major impact. The accuracy it demonstrated compared to others is 
excellent.

"Our" target (T1068) that was not solvable by MR with the homologous search 
structure or a homology model (it was phased with Archimboldo, rather easily), 
is easily solvable with the AlphaFold model as a search model. In PHASER I get 
Rotation Z-score 17.9, translation Z-score 26.0, using defaults.


imho what remains to be seen is:

a. how and when will a prediction server be available?
b. even if training needs computing that will surely unaccessible to most, will 
there be code that can be installed in a "reasonable" number of GPUs and how 
fast will it be?
c. how do model quality metrics (that do not compared with the known answer) 
correlate with the expected RMSD? AlphaFold, no matter how impressive, still 
gets things wrong.
c. will the AI efforts now gear to ligand (fragment?) prediction with similarly 
impressive performance?

Exciting times.

A.




On 3 Dec 2020, at 21:55, Jon Cooper 
<0000488a26d62010-dmarc-requ...@jiscmail.ac.uk<mailto:0000488a26d62010-dmarc-requ...@jiscmail.ac.uk>>
 wrote:

Hello. A quick look suggests that a lot of the test structures were solved by 
phaser or molrep, suggesting it is a very welcome improvement on homology 
modelling. It would be interesting to know how it performs with structures of 
new or uncertain fold, if there are any left these days. Without resorting to 
jokes about artificial intelligence, I couldn't make that out from the CASP14 
website or the many excellent articles that have appeared. Best wishes, Jon 
Cooper.


Sent from ProtonMail mobile



-------- Original Message --------
On 3 Dec 2020, 11:17, Isabel Garcia-Saez < 
isabel.gar...@ibs.fr<mailto:isabel.gar...@ibs.fr>> wrote:

Dear all,

Just commenting that after the stunning performance of AlphaFold that uses AI 
from Google maybe some of us we could dedicate ourselves to the noble art of 
gardening, baking, doing Chinese Calligraphy, enjoying the clouds pass or 
everything together (just in case I have already prepared my subscription to 
Netflix).

https://www.nature.com/articles/d41586-020-03348-4<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.nature.com_articles_d41586-2D020-2D03348-2D4&d=DwMGaQ&c=4NmamNZG3KTnUCoC6InoLJ6KV1tbVKrkZXHRwtIMGmo&r=1DzJFW0v6TgEhkW1gy_-ke-RbtvS1fzEbD5_hcb9Up0&m=5lc5MUokcPdJZuiKvx3xkaHGMFTkSQHuwMu3HoQZUNA&s=FjJEUNt1oYyfCSZk105Z-QvYSPRKxaj1NGZOmqJsXKw&e=>

Well, I suppose that we still have the structures of complexes (at the moment). 
I am wondering how the labs will have access to this technology in the future 
(would it be for free coming from the company DeepMind - Google?). It seems 
that they have already published some code. Well, exciting times.

Cheers,

Isabel


Isabel Garcia-Saez PhD
Institut de Biologie Structurale
Viral Infection and Cancer Group (VIC)-Cell Division Team
71, Avenue des Martyrs
CS 10090
38044 Grenoble Cedex 9
France
Tel.: 00 33 (0) 457 42 86 15
e-mail: isabel.gar...@ibs.fr<mailto:isabel.gar...@ibs.fr>
FAX: 00 33 (0) 476 50 18 90
http://www.ibs.fr/<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.ibs.fr_&d=DwMGaQ&c=4NmamNZG3KTnUCoC6InoLJ6KV1tbVKrkZXHRwtIMGmo&r=1DzJFW0v6TgEhkW1gy_-ke-RbtvS1fzEbD5_hcb9Up0&m=5lc5MUokcPdJZuiKvx3xkaHGMFTkSQHuwMu3HoQZUNA&s=YlBw2nUGdJg2OpSa9WKUs8bJxcGcNDihK6rZy-M-d0Q&e=>


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