Hi River,

What's in a name? That which we call a predicted structure
By any other name would still be uncertain until validated experimentally

Cheers,
Quyen

> On Apr 3, 2023, at 2:12 PM, Xiao, Chuan <[email protected]> wrote:
> 
> You raised a very good question: why we are asking this question now? Maybe 
> the answer is somewhere on the fact that Alphafold is a “revolution” in the 
> prediction field (borrow the term from resolution revolution in cryo-EM).
>  
> Anyway, when reading all these discussions, it made me think how I came to US 
> to learn how to solve a structure. My Master training is more like 
> bioinformatics. My second paper has a component of structural homology 
> modeling after sequencing some Rice genes. The paper was rejected by the 
> reviewers asking how I could proof my structural modeling (prediction) was 
> correct. At that time, I decided to learn how to solve the structure to proof 
> my prediction is correct. Now, it is interesting to see now the question is 
> on the other side. 😊
>  
> River  
>  
> From: CCP4 bulletin board <[email protected] 
> <mailto:[email protected]>> On Behalf Of Quyen Hoang
> Sent: Sunday, April 2, 2023 10:20 AM
> To: [email protected] <mailto:[email protected]>
> Subject: Re: [ccp4bb] [External] Re: [ccp4bb] Structure prediction - waiting 
> to happen
>  
> EXTERNAL EMAIL: This e-mail is from a sender outside of the UTEP system. Do 
> not click any links or open any attachments unless you trust the sender and 
> know the content is safe.
> Please forward suspicious emails to [email protected] 
> <mailto:[email protected]> or call 915.747.6324
> 
> Thank you for having this conversion.  
> I have heard this question more than once (why is experimental determination 
> needed when there is Alphafold) at grant study sections. Some came from 
> structural biologists, so hopefully, the discussion here would help them 
> also. 
> Computational modeling had existed for decades before Alphafold, and no one 
> ever questioned then, as far as I am aware, the need for experimental 
> determination of the modeled structures regardless of how accurate the 
> predicted models may have been (for example an MD state of a point mutation 
> using a high-resolution X-ray model as a starting model), so I am confused as 
> to why we are asking this question now. In my view, predicted model, as good 
> as it may be, is still a prediction. 
>  
> Cheers,
> Quyen
> 
> Quyen Hoang, PhD
> Associate Professor 
> Department of Biochemistry and Molecular Biology 
> Adjunct Associate Professor of Neurology
> Principal Investigator of the Stark Neurosciences Research Institute
> Indiana University School of Medicine
> 635 Barnhill Drive
> Medical Sciences Building, room MS0013C
> Indianapolis, IN 46202
> 317-274-4371 <tel:317-274-4371>
>  
> 
> 
> On Apr 2, 2023, at 10:52 AM, Eugene Valkov <[email protected] 
> <mailto:[email protected]>> wrote:
> 
>  
> It depends on the problem under investigation. For example, if you propose to 
> perform drug discovery with membrane proteins in a lipid/detergent 
> environment or study the structural organization of large ribonucleoprotein 
> assemblies, then AlphaFold will be of limited value and you should point this 
> out in the rebuttal.
>  
> If one of your aims is to study a protein, divide it into pieces, and solve 
> structures of domains, then this is justifiably questioned by reviewers in 
> light of the information provided by structure prediction. Perhaps in the 
> reviewer's opinion, there is no need to use substantial funds and time to 
> solve that structure. A more competitive proposal may then re-focus on 
> requesting resources for using the structural hypotheses to probe the 
> mechanism with more ambitious experimental structural aims or to take a 
> deeper dive into the function.
>  
> As Darwin said, it is not the strongest or the fastest (or even the most 
> intellectual!) that survives.
>  
> On Sun, 2 Apr 2023 at 11:28, Srivastava, Dhiraj <[email protected] 
> <mailto:[email protected]>> wrote:
> That’s the point. All these predictions can not replace experiments and they 
> should be used only in the absence of experimental structures, that too with 
> caution. A biophysicist and structural biologist understand this but most of 
> the non-experts (including the reviewers of the grants from non-structural 
> biology study sections) don’t understand this and think that with alphafold, 
> there is no need for experimentally determined structures. That’s more 
> damaging than helpful. 
>  
>  
> From: CCP4 bulletin board <[email protected] 
> <mailto:[email protected]>> on behalf of Eugene Valkov 
> <[email protected] <mailto:[email protected]>>
> Sent: Sunday, April 2, 2023 10:10 AM
> To: [email protected] <mailto:[email protected]> 
> <[email protected] <mailto:[email protected]>>
> Subject: Re: [ccp4bb] [External] Re: [ccp4bb] Structure prediction - waiting 
> to happen
>  
> Predicted structures lack the precision and accuracy of 
> experimentally-determined structures at high resolution with all the benefits 
> of unbiased co-discovery of solvent molecules, ions, ligands, etc., bound to 
> molecules of interest.
>  
> It is also true that AI-assisted structure prediction can be stunningly 
> accurate to the level of correctly identifying interfacing residues between 
> interacting proteins and accurately recapitulating the architectures of 
> large, multi-domain complexes. AI-assisted structure prediction is immensely 
> liberating in lowering the threshold to generate testable hypotheses for 
> those lacking access to experimental structural biology resources.
>  
> AlphaFold and related structure prediction tools are here to stay, and no 
> magic incantations in funding proposals will likely make them disappear. So 
> rather than wring our hands as a community and mourning the loss of 
> ‘divide-and-conquer’ structural biology, which was a rich vein to mine over 
> the last decades, we should adapt to structure prediction and normalize its 
> use, with proper controls and caveats, as part of our arsenal of tools and 
> methods to focus on the questions under investigation.
>  
> With best wishes,
> Eugene
>  
> Eugene Valkov, D.Phil.
> Stadtman Investigator
> RNA Biology Laboratory
> Center for Cancer Research
> National Cancer Institute
> Frederick MD 21702, USA
> (301) 846-1823
>  
>  
> On Sun, 2 Apr 2023 at 10:44, jacinto.ls <http://jacinto.ls/> 
> <[email protected] <mailto:[email protected]>> wrote:
> I am also not sure whether AlphaFold can address the impact of ions and other 
> cofactors on the fold of many proteins.
>  
> Best wishes,
> Jacinto
> On 2/4/23 16:20, Srivastava, Dhiraj wrote:
> 
> May be this article is of some help suggesting the need of experimental 
> structures despite excellent alphafold model.
> https://www.nature.com/articles/s41401-022-00938-y 
> <https://www.nature.com/articles/s41401-022-00938-y>
>  
> From: CCP4 bulletin board <[email protected]> 
> <mailto:[email protected]> on behalf of Ian Tickle <[email protected]> 
> <mailto:[email protected]>
> Sent: Sunday, April 2, 2023 8:28 AM
> To: [email protected] <mailto:[email protected]> 
> <[email protected]> <mailto:[email protected]>
> Subject: [External] Re: [ccp4bb] Structure prediction - waiting to happen
>  
>  
> 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] 
> <mailto:[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] 
> > > <mailto:[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 
> > > <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] 
> > >> <mailto:[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 
> > >> <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 
> > >> <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
> > >>  
> > >> <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] <mailto:[email protected]> ; 
> > >> [email protected] 
> > >> <mailto:[email protected]>
> > >> Phone: +32 (0)472 928 519 (mobile) ; +32 (0)9 331 36 60 (office)
> > >> Web: https://savvideslab.sites.vib.be/en#/ 
> > >> <https://savvideslab.sites.vib.be/en#/>
> > >> 
> > >>>> On 1 Apr 2023, at 16:57, Subramanian, Ramaswamy <[email protected] 
> > >>>> <mailto:[email protected]>> wrote:
> > >>> 
> > >>> Ian,
> > >>> 
> > >>> Thank you.  This is not an April fools..  
> > >>> Rams
> > >>> [email protected] <mailto:[email protected]>
> > >>> 
> > >>> 
> > >>> 
> > >>>> On Apr 1, 2023, at 10:46 AM, Ian Tickle <[email protected] 
> > >>>> <mailto:[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 
> > >>>> <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 
> > >>>> <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 
> > >>>> <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 
> > >>>> <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] <mailto:[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] <mailto:[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 
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> > >>>> 
> > >>> 
> > >>> 
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> > >> 
> > >> 
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> > >> 
> > > 
> > > -----
> > > 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] <mailto:[email protected]>
> > > Cambridge CB2 0XY, U.K.                              
> > > www-structmed.cimr.cam.ac.uk <http://www-structmed.cimr.cam.ac.uk/>
> > > 
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