Hello Jon,

We had a novel structure and it did very well. I haven't tried the MR to see if 
the model would work, but it was so close that I can't imagine it not working. 
Our protein was ~185 residues and the closest PDB structures were about 4 
Angstrom rmsd over about 70 residues over just one part of the structure (the 
beta-sheet running through the middle), so pretty different to all the known 
structures.
So I agree with others, the predictions were much better this year.
cheers, tom

Tom Peat, PhD
Proteins Group
Biomedical Program, CSIRO
343 Royal Parade
Parkville, VIC, 3052
+613 9662 7304
+614 57 539 419
[email protected]

________________________________
From: CCP4 bulletin board <[email protected]> on behalf of Jon Cooper 
<[email protected]>
Sent: Friday, December 4, 2020 7:55 AM
To: [email protected] <[email protected]>
Subject: Re: [ccp4bb] AlphaFold: more thinking and less pipetting (?)

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 < [email protected]> 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

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: [email protected]<mailto:[email protected]>
FAX: 00 33 (0) 476 50 18 90
http://www.ibs.fr/


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