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
crystallography/CryoEM/structural biology/biophysics for this audience), a
few recent papers and news items:

"AI’s potential to accelerate drug discovery needs a reality check"
https://www.nature.com/articles/d41586-023-03172-6

"Sumitomo Schizophrenia Drug Discovered With AI Tech Fails in Two Phase 3
Trials"
https://medcitynews.com/2023/07/sumitomo-schizophrenia-ai-drug-discovery-in-two-clinical-trial/

"AI-created drugs fall off hype cycle"
https://www.beckershospitalreview.com/pharmacy/ai-created-drugs-fall-off-hype-cycle.html

"After years of hype, the first AI-designed drugs fall short in the clinic"
https://endpts.com/first-ai-designed-drugs-fall-short-in-the-clinic-following-years-of-hype/

As a research community, while it is great to see new sci & tech maturing
and adding to the R&D, it's quite likely that when the dust settles (as
we've seen with many hypes, I think there are ~200 companies of different
sizes and stages claiming to be in the "AI" space, most with undisclosed
and unvalidated methods and approaches), all this could become a strong
*addition* to the drug discovery/structural biology arsenal, *instead of
substituting workhorse solutions and approaches*, potentially *most useful
in cases only when experimental structures are not available or not
immediately possible to kick off the start of projects*.

Best regards,
Debanu
--
Debanu Das,
https://bio.site/debanu_das

On Fri, Dec 1, 2023 at 10:23 AM Mitchell D. Miller <
mitchell.d.mil...@rice.edu> wrote:

> 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
>
> Regards,
> Mitch
>
> Quoting Tom Terwilliger <0000b6116340b489-dmarc-requ...@jiscmail.ac.uk>:
>
> > 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 the best,
> > Tom T
> >
> >
> > On Fri, Dec 1, 2023 at 5:19 AM Roberto Steiner <
> roberto.stei...@kcl.ac.uk>
> > wrote:
> >
> >> Great paper indeed!
> >>
> >> However quite significant progress seems to have been achieved with
> >> ligands as well (and not only)…
> >>
> >>
> https://urldefense.com/v3/__https://deepmind.google/discover/blog/a-glimpse-of-the-next-generation-of-alphafold/__;!!BuQPrrmRaQ!mWTLfJ8Bjj3YYdp1ZCa8HXyjF-1lq1emf12VPcusoqMN5sh4Eajgq-3UOcaWAERlTNpVWXSdqVPUzhyjIYzPrkIn0P-gtdIjb9GM9FxbyWs$
> >> Has anyone in the community put this to the test?
> >>
> >>
> >> Best wishes
> >> Roberto
> >>
> >>
> >> *Roberto A Steiner*
> >>
> https://urldefense.com/v3/__http://www.steinerlab.org__;!!BuQPrrmRaQ!mWTLfJ8Bjj3YYdp1ZCa8HXyjF-1lq1emf12VPcusoqMN5sh4Eajgq-3UOcaWAERlTNpVWXSdqVPUzhyjIYzPrkIn0P-gtdIjb9GMxbA8Qgg$
> >>
> https://urldefense.com/v3/__https://twitter.com/steiner_lab__;!!BuQPrrmRaQ!mWTLfJ8Bjj3YYdp1ZCa8HXyjF-1lq1emf12VPcusoqMN5sh4Eajgq-3UOcaWAERlTNpVWXSdqVPUzhyjIYzPrkIn0P-gtdIjb9GMZmS2rX0$
> >>
> >> roberto.stei...@kcl.ac.uk
> >> Randall Centre for Cell and Molecular Biophysics
> >> Faculty of Life Sciences and Medicine
> >> King's College London
> >> Room 3.10A
> >> New Hunt's House, Guy's Campus
> >> SE1 1UL, London, UK
> >> Phone 0044 20 78488216
> >> Fax    0044 20 78486435
> >>
> >> roberto.stei...@unipd.it
> >> Dipartimento di Scienze Biomediche
> >> Università degli Studi di Padova
> >> Viale G. Colombo 3
> >> 35131 Padova, Italia
> >> Telefono 0039 049 8276409
> >>
> >> *Responses to emails are not expected outside of your normal working
> >> hours.*
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >> On 30 Nov 2023, at 22:35, Tom Terwilliger <
> >> 0000b6116340b489-dmarc-requ...@jiscmail.ac.uk> wrote:
> >>
> >> You don't often get email from
> >> 0000b6116340b489-dmarc-requ...@jiscmail.ac.uk. Learn why this is
> important
> >> <https://aka.ms/LearnAboutSenderIdentification>
> >> Hi Structural biologist colleagues!
> >>
> >> Our article that helps you make the case that the experiment is still
> very
> >> much needed is now out:
> >>
> >> https://www.nature.com/articles/s41592-023-02087-4
> >>
> >> "AlphaFold predictions are valuable hypotheses and accelerate but do not
> >> replace experimental structure determination."  Nature Methods (2023)
> >>
> >> Also, here is a video on the Phenix Tutorials YouTube channel that
> >> describes this analysis:
> >>
> https://urldefense.com/v3/__https://www.youtube.com/watch?v=ugMPYdPo8Bc__;!!BuQPrrmRaQ!mWTLfJ8Bjj3YYdp1ZCa8HXyjF-1lq1emf12VPcusoqMN5sh4Eajgq-3UOcaWAERlTNpVWXSdqVPUzhyjIYzPrkIn0P-gtdIjb9GMqp4wPP4$
> >>
> >> (I hope you will be happy to see that you and your structural biology
> >> colleagues get the credit for making AlphaFold possible at 2:35 in the
> >> introduction of this video!  Keep up the fantastic structural biology
> work!)
> >>
> >> All the best,
> >> Tom T
> >> --
> >> Thomas C Terwilliger
> >> Laboratory Fellow, Los Alamos National Laboratory
> >> Senior Scientist, New Mexico Consortium
> >> 100 Entrada Dr, Los Alamos, NM 87544
> >> Email: tterwilli...@newmexicoconsortium.org
> >> Tel: 505-431-0010
> >>
> >>
> >> ------------------------------
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> >>
> >>
> >>
> >
> > --
> > Thomas C Terwilliger
> > Laboratory Fellow, Los Alamos National Laboratory
> > Senior Scientist, New Mexico Consortium
> > 100 Entrada Dr, Los Alamos, NM 87544
> > Email: tterwilli...@newmexicoconsortium.org
> > Tel: 505-431-0010
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