Re: [ccp4bb] The experiment is still very much needed (though AlphaFold helps a lot)

just came across this critique of that paper on Twitter: https://twitter.com/Robert_Palgrave/status/1730358675523424344 Robert Palgrave (@Robert_Palgrave) on X twitter.com https://twitter.com/Robert_Palgrave/status/1730358675523424344but I'm not enough of an expert to judge - perhaps some

Re: [ccp4bb] The experiment is still very much needed (though AlphaFold helps a lot)

Adding to that literature list a bit outside : Merchant, A., Batzner, S., Schoenholz, S.S. et al. Quote: "... we show that graph networks trained at scale can reach unprecedented levels of generalization, improving the efficiency of materials discovery by an order of magnitude. " Scaling

Re: [ccp4bb] The experiment is still very much needed (though AlphaFold helps a lot)

Hi Tom, Great to see your new analysis and publication. A wonderful addition to your recent work in this domain/comparisons. Congratulations! For those trying to keep up with "AI Drug Discovery" (including AlphaFold, OpenFold, Gen AI, etc) vs "Conventional Drug Discovery" (primarily

Re: [ccp4bb] The experiment is still very much needed (though AlphaFold helps a lot)

The Baker group has also reported substantial progress in all atom predictions Krishna et al., Generalized Biomolecular Modeling and Design with RoseTTAFold All-Atom bioRxiv 2023.10.09.561603 doi: 10.1101/2023.10.09.561603 https://www.biorxiv.org/content/10.1101/2023.10.09.561603v1.full

Re: [ccp4bb] The experiment is still very much needed (though AlphaFold helps a lot)

Very very interesting analysis - Thankyou! On Fri, 1 Dec 2023 at 18:01, Tom Terwilliger < b6116340b489-dmarc-requ...@jiscmail.ac.uk> wrote: > Hi Roberto, > Thanks for the link to the DeepMind site! I hadn't seen that and now I > read it and the paper that they link to. It looks to me as

Re: [ccp4bb] The experiment is still very much needed (though AlphaFold helps a lot)

Hi Roberto, Thanks for the link to the DeepMind site! I hadn't seen that and now I read it and the paper that they link to. It looks to me as though they are making significant progress on ligands, dna, rna, but that the program is not yet available, so I don't think it can be tested yet! All

Re: [ccp4bb] CCP4 Study Weekend 2024 - In-person registration CLOSES MONDAY 4TH DECEMBER!

In-person registration for the CCP4 Study Weekend 2024 closes on Monday 4th December (this coming Monday). Virtual registration will still be available after this date. Register now if you want to be in the room where it happens! Regards Karen McIntyre CCP4 Project Administrator CCP4

Re: [ccp4bb] The experiment is still very much needed (though AlphaFold helps a lot)

Based however on an AlphaFold version that I guess will be at some point released. I was wondering if someone had an early access…. Oh well…I guess we will find out how it performs on ligands soon enough. Cheers Roberto Roberto A Steiner www.steinerlab.org

Re: [ccp4bb] The experiment is still very much needed (though AlphaFold helps a lot)

That's a press release, not a tool that can be tested. On 01/12/2023 12:19, Roberto Steiner wrote: Great paper indeed! However quite significant progress seems to have been achieved with ligands as well (and not only)…

[ccp4bb] 2 fully funded PhD studentships in Newcastle University

Dear colleagues Just wanted to highlight 2 fully funded PhD studentships in my lab with strong structural biology focus - protein crystallography, cryoEM, cryoET and combinatorial approaches, combined with biochemistry and microbiology to study antibiotic-resistant pathogen C. difficile.

Re: [ccp4bb] The experiment is still very much needed (though AlphaFold helps a lot)

Great paper indeed! However quite significant progress seems to have been achieved with ligands as well (and not only)… https://deepmind.google/discover/blog/a-glimpse-of-the-next-generation-of-alphafold/ Has anyone in the community put this to the test? Best wishes Roberto Roberto A