The subject line for Isabel's email is very good.

I do have a question (more a request) for the more computer scientist oriented 
people. I think it is relevant for where this technology will be going. It 
comes from trying to understand whether problems addressed by Alpha are NP, NP 
hard, NP complete etc. My understanding is that the previous successes of Alpha 
were for complete information games such as Chess and Go. Both the rules and 
the present position were available to both sides. The folding problem might be 
in a different category. It would be nice if someone could explain the 
difference (if any) between Go and the protein folding problem perhaps using 
the NP type categories.

Colin



From: CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> On Behalf Of Isabel 
Garcia-Saez
Sent: 03 December 2020 11:18
To: CCP4BB@JISCMAIL.AC.UK
Subject: [ccp4bb] AlphaFold: more thinking and less pipetting (?)

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: isabel.gar...@ibs.fr<mailto:isabel.gar...@ibs.fr>
FAX: 00 33 (0) 476 50 18 90
http://www.ibs.fr/


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