All, the first hurdle will of course be whether the AlphaFold model works
as a MR model, even with the 100% completeness and sequence identity of a
bespoke model.  The question is what B factors to use or which disordered
bits to leave out, as that can strongly influence the result (perhaps use
info from a similar structure).  If it doesn't work in MR that's a pretty
good indication that it's too far from reality to be useful for looking at
detailed interactions.

Does anyone know of a systematic investigation of the success rate of
AlphaFold models in MR ?  That would be useful ammunition !

Cheers

-- Ian


On Sun, 2 Apr 2023 at 11:51, Gerard Bricogne <[email protected]> wrote:

> Dear all,
>
>      I think that quoting general viewpoints and statements, however
> knowledgeable and respected their authors may be, will only exacerbate the
> climate of clashing prejudices between two camps and is bound to sustain a
> war of opinions rather than lead to a rational acceptance that something
> has
> changed. The frustration is that one camp (the AlphaFold believers) can be
> viewed as in effect preventing experiments that could prove it wrong.
>
>      One way to deal with this obstruction would be to provide, in each
> particular case, evidence that the AlphaFold results "do not cut it" as the
> sole provider of 3D information within the project at hand. This means that
> every grant proposal requesting resources towards a crystallographic
> structure solution should document the fact that AlphaFold predictions have
> been performed (or, often, looked up in a database of pre-cooked results)
> but do not provide the accuracy required for the proposed investigation. If
> this step of writing up the "Background" section of the grant actually
> delivers a useful result, then everyone will be happy; and if it doesn't,
> then the case for the need to allocate resources to solving the structure
> by
> crystallography will be unassailable. In this way, AlphaFold will be a game
> changer (we have known that since July 2021) but not a game killer. Savvas
> alluded to a similar approach, but it could be made a formal requirement
> acceptable to both proposers and reviewers, who would then both be dealing
> with the situation in a scientific rather than dogmatic manner.
>
>
>      With best wishes,
>
>           Gerard.
>
> --
> On Sat, Apr 01, 2023 at 06:54:33PM +0000, Goldman, Adrian wrote:
> > I think this is all true - and I’ve been putting things like this into
> my (failing) grants - but I get the dispiriting sense that the medics think
> (to borrow a line from hamlet) “the applicant doth protest too much
> methinks”.
> >
> > Well if as per James H today ;), we deposit coordinates to 1sf,
> alphafold will be just fine.
> >
> > Of course the coordinates won’t be of any use to anybody, but the
> pictures will be nice.
> >
> > Adrian
> >
> > Sent from my iPhone
> >
> > > On 1 Apr 2023, at 21:39, Randy John Read <[email protected]> wrote:
> > >
> > > There’s also this preprint with Tom Terwilliger as lead author:
> https://www.biorxiv.org/content/10.1101/2022.11.21.517405v1. The title is
> “AlphaFold predictions: great hypotheses but no match for experiment”.
> > >
> > > Best wishes,
> > >
> > > Randy
> > >
> > >> On 1 Apr 2023, at 18:18, Savvas Savvides <
> [email protected]> wrote:
> > >>
> > >> Dear Rams,
> > >>
> > >> I salute you for sharing this.
> > >>
> > >> Just a week ago, I also received a remark along these lines on a
> declined grant application. The remark was the only unfavourable point,
> which suggested that it must have weighed disproportionally towards the
> negative outcome. This was a two-stage evaluation process and the grant was
> cut in stage-1 where it was evaluated by a small group of evaluators, none
> of whom was a structural biologist/biochemist. Stage-2 would have involved
> peer review by international experts.
> > >>
> > >> Despite my initial disbelief about what this remark might have caused
> and upon reflection, I realized that it might be time to become proactive
> in future applications in anticipation of the apparent growing trend
> towards such remarks and perceptions.
> > >>
> > >> I think that a generalized form of preemptive text might not serve
> the purpose well, but perhaps well-articulated statements specific to the
> proposed biological problem at hand (perhaps aided by illustrations
> demonstrating the inability of structure prediction to address the problem
> at hand) might be the better way to go. Even though many of us who teach
> courses in experimental structural biology and structural bioinformatics at
> undergraduate and graduate levels are already actively addressing many of
> these issues, there is a much bigger and far more senior scientific
> population out there that makes important decisions on science
> policy/funding/infrastructures/evaluations/recruitment/etc that are not
> getting such educational exposure.
> > >>
> > >> The following resources provide good material and starting points to
> reflect and elaborate upon.
> > >>
> > >> The article by Perrakis and Sixma in EMBO Reports
> https://www.embopress.org/doi/full/10.15252/embr.202154046
> > >>
> > >> The recent comment paper in Nature Methods by Thomas Jane
> > >> https://doi.org/10.1038/s41592-022-01760-4
> > >>
> > >> A correspondence in Science by Moore, Hendrickson, Henderson and
> Brunger
> > >>
> https://www.science.org/doi/10.1126/science.abn9422?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed
> > >>
> > >>
> > >> Best wishes
> > >> Savvas
> > >>
> > >>
> > >> ----
> > >> Savvas Savvides
> > >> VIB Center for Inflammation Research
> > >> Ghent University, Dept. of Biochemistry & Microbiology
> > >> Technologiepark 71, 9052 Ghent, Belgium
> > >>
> > >> Email: [email protected] ; [email protected]
> > >> Phone: +32 (0)472 928 519 (mobile) ; +32 (0)9 331 36 60 (office)
> > >> Web: https://savvideslab.sites.vib.be/en#/
> > >>
> > >>>> On 1 Apr 2023, at 16:57, Subramanian, Ramaswamy <
> [email protected]> wrote:
> > >>>
> > >>> Ian,
> > >>>
> > >>> Thank you.  This is not an April fools..
> > >>> Rams
> > >>> [email protected]
> > >>>
> > >>>
> > >>>
> > >>>> On Apr 1, 2023, at 10:46 AM, Ian Tickle <[email protected]> wrote:
> > >>>>
> > >>>> ---- External Email: Use caution with attachments, links, or
> sharing data ----
> > >>>>
> > >>>>
> > >>>> Hi Ramaswamy
> > >>>>
> > >>>> I assume this is an April Fool's but it's still a serious question
> because many reviewers who are not crystallographers or electron
> microscopists may not fully appreciate the difference currently between the
> precision of structures obtained by experimental and predictive methods,
> though the latter are certainly catching up.  The answer of course lies in
> the mean co-ordinate precision, related to the map resolution.
> > >>>>
> > >>>> Quoting https://people.cryst.bbk.ac.uk/~ubcg05m/precgrant.html :
> > >>>>
> > >>>> "The accuracy and precision required of an experimentally
> determined model of a macromolecule depends on the biological questions
> being asked of the structure.  Questions involving the overall fold of a
> protein, or its topological similarity to other proteins, can be answered
> by structures of fairly low precision such as those obtained from very low
> resolution X-ray crystal diffraction data [or AlphaFold].  Questions
> involving reaction mechanisms require much greater accuracy and precision
> as obtained from well-refined, high-resolution X-ray structures, including
> proper statistical analyses of the standard uncertainties (s.u.'s) of
> atomic positions and bond lengths.".
> > >>>>
> > >>>> According to https://www.nature.com/articles/s41586-021-03819-2 :
> > >>>>
> > >>>> The accuracy of AlphaFold structures at the time of writing (2021)
> was around 1.0 Ang. RMSD for main-chain and 1.5 Ang. RMSD for side-chain
> atoms and probably hasn't changed much since.  This is described as "highly
> accurate"; however this only means that AlphaFold's accuracy is much higher
> in comparison with other prediction methods, not in comparison with
> experimental methods.  Also note that AlphaFold's accuracy is estimated by
> comparison with the X-ray structure which remains the "gold standard";
> there's no way (AFAIK) of independently assessing AlphaFold's accuracy or
> precision.
> > >>>>
> > >>>> Quoting https://scripts.iucr.org/cgi-bin/paper?S0907444998012645 :
> > >>>>
> > >>>> "Data of 0.94 A resolution for the 237-residue protein concanavalin
> A are used in unrestrained and restrained full-matrix inversions to provide
> standard uncertainties sigma(r) for positions and sigma(l) for bond
> lengths. sigma(r) is as small as 0.01 A for atoms with low Debye B values
> but increases strongly with B."
> > >>>>
> > >>>> There's a yawning gap between 1.0 - 1.5 Ang. and 0.01 Ang.!
> Perhaps AlphaFold structures should be deposited using James Holton's new
> PDB format (now that is an April Fool's !).
> > >>>>
> > >>>> One final suggestion for a reference in your grant application:
> https://www.biorxiv.org/content/10.1101/2022.03.08.483439v2 .
> > >>>>
> > >>>> Cheers
> > >>>>
> > >>>> -- Ian
> > >>>>
> > >>>>
> > >>>> On Sat, 1 Apr 2023 at 13:06, Subramanian, Ramaswamy <
> [email protected]> wrote:
> > >>>> Dear All,
> > >>>>
> > >>>> I am unsure if all other groups will get it - but I am sure this
> group will understand the frustration.
> > >>>>
> > >>>> My NIH grant did not get funded.  A few genuine comments - they
> make excellent sense.  We will fix that.
> > >>>>
> > >>>> One major comment is, “Structures can be predicted by alpfafold and
> other software accurately, so the effort put on the grant to get structures
> by X-ray crystallography/cryo-EM is not justified.”
> > >>>>
> > >>>> The problem is when a company with billions of $$s develops a
> method and blasts it everywhere - the message is so pervasive…
> > >>>>
> > >>>> Question: Is there a canned consensus paragraph that one can add
> with references to grants with structural biology (especially if the review
> group is not a structural biology group) to say why the most modern
> structure prediction programs are not a substitute for structural work?
> > >>>>
> > >>>> Thanks.
> > >>>>
> > >>>>
> > >>>> Rams
> > >>>> [email protected]
> > >>>>
> > >>>>
> > >>>>
> > >>>>
> > >>>> To unsubscribe from the CCP4BB list, click the following link:
> > >>>> https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1
> > >>>>
> > >>>
> > >>>
> > >>> To unsubscribe from the CCP4BB list, click the following link:
> > >>> https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1
> > >>>
> > >>
> > >>
> > >> To unsubscribe from the CCP4BB list, click the following link:
> > >> https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1
> > >>
> > >
> > > -----
> > > Randy J. Read
> > > Department of Haematology, University of Cambridge
> > > Cambridge Institute for Medical Research     Tel: +44 1223 336500
> > > The Keith Peters Building
> > > Hills Road
>  E-mail: [email protected]
> > > Cambridge CB2 0XY, U.K.
> www-structmed.cimr.cam.ac.uk
> > >
> > >
> > >
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