CCL: AlphaFold 3 vs AutoDock Vina
- From: S M Bargeen Turzo <smbargeen.turzo.2016(0)owu.edu>
- Subject: CCL: AlphaFold 3 vs AutoDock Vina
- Date: Wed, 26 Jun 2024 13:56:06 -0400
Maybe relevant - Not sure how true to the original AF3 implementation this
is but given that DeepMind decided to make this closed source there has
been some efforts from the open source community to implement AF3. See
github link below:
https://github.com/lucidrains/alphafold3-pytorch
On Wed, Jun 26, 2024 at 1:51 PM Oleg Trott trott : caa.columbia.edu <
owner-chemistry*|*ccl.net> wrote:
>
> Sent to CCL by: Oleg Trott [trott:+:caa.columbia.edu]
> Thanks!
>
> I hope someone re-runs DeepMind's calculations, with the same
> settings, but using k-fold cross-validation (like what I did at
> Columbia), where test and training sets are never related. This will
> show how well (or poorly, as the case may be) the method generalizes
> to unrelated proteins.
>
>
> =====
> Oleg Trott, PhD
> https://olegtrott.com
>
>
>
>
>
> On Tue, Jun 25, 2024 at 11:31 AM Aydin Manzouri aydin.manzouri ~~
> gmail.com <owner-chemistry_-_ccl.net> wrote:
> >
> > Truly insightful. Thanks a lot.
> >
> > On Tue, Jun 25, 2024 at 1:59 AM Oleg Trott
trott[-]caa.columbia.edu
> <owner-chemistry*_*ccl.net> wrote:
> >>
> >>
> >> Sent to CCL by: "Oleg Trott" [trott-$-caa.columbia.edu]
> >> Hello, everyone!
> >>
> >> DeepMind's new AlphaFold 3 attempts to predict protein-ligand
binding,
> and
> >> their publication compares it to AutoDock Vina (which I built).
But
> their
> >> methodology seems strange.
> >>
> >> I wrote up my comments in a blog post. If you have an interest in
AI
> and/or
> >> docking, I hope you'll find it insightful.
> >>
> >> https://olegtrott.substack.com/p/are-alphafolds-new-results-a-miracle>>
> E-mail to subscribers: CHEMISTRY*_*ccl.net or use:>>
> >> E-mail to administrators: CHEMISTRY-REQUEST*_*ccl.net or
use>>
> >>
>
>
>
> -= This is automatically added to each message by the mailing script =->
>
>