[phenixbb] Update on COVID-19 Open Structures initiative

[Randy Read]

Dear all,

Last week I posted the message below, suggesting an open science approach to ensure that there will be no unnecessary delays in the determination of crystal structures related to COVID-19, whether they’re from the SARS-CoV-2 virus, interacting host proteins, or complexes.  Working together, and combining expertise in data analysis, structure determination and computational modelling, we believe we can greatly accelerate progress on difficult structures.

Since last week we’ve chosen a platform, Microsoft Teams, to coordinate the effort, created a new Team and built the bare bones of a site ready for new targets.  (For those who prefer other collaboration platforms such as Slack or Zulip, they might well have advantages but I had easy access to the Teams infrastructure and we’re already using it for working from home.)

If you believe that you can bring expertise to this initiative and you’re willing to share your insights and any promising results immediately with others, please get in touch and I’ll add you to the team.

If you have diffraction data for a target structure for this initiative, please send an email to me, to Massimo Sammito (mds83 at cam.ac.uk) and to the CASP organisers (casp at predictioncenter.org). Either Massimo or I will add you to the team, upload the target data, links and other information and send an alert to everyone who has registered.

Best wishes,

Randy Read

===========

The Covid-19 crisis is bringing out the best in the communities we belong to, with many people giving deep thought to how we can use our skills to help.  On the crystallography bulletin boards we've seen offers to help in solving Covid-19-related structures that prove difficult, offers to help with improving protein stability, suggestions that the deposition of raw diffraction images would allow the community to help get the best possible version of any relevant structure, and requests to share bioinformatics analyses and predictions of what are the most interesting targets.

We're writing to suggest an additional way that the community can help to accelerate progress in the structural understanding of Covid-19.  The CASP (Critical Assessment of Structure Prediction) organisers have recently launched an initiative to mobilise the structure prediction community to predict and refine 3D structures of SARS-2-Covid proteins and relevant complexes that either have unknown structure or are non-trivial modelling targets: 
http://predictioncenter.org/caspcommons/index.cgi.
Note that the models will be refined much more extensively than typically done in a normal CASP round, which should make them even better than the impressive results seen in recent years. 

We would like to build on this initiative, and the enthusiasm this has revealed in the prediction community, to help to accelerate the determination of structures needed for a molecular-level understanding of Covid-19.  Structure prediction has reached a level of maturity where predicted ab initio models and distant homology models can be accurate enough to solve new structures by molecular replacement.  The best way to bring the prediction and experimental communities together to exploit these developments and accelerate progress is to embrace an open science approach.  To that end, we propose the following:

* If you have diffraction data involving a SARS-2-Covid protein, a host protein relevant to pathogenesis or a complex, but you are not immediately able to solve the structure, contact the CASP organisers (casp at predictioncenter.org) with the sequence(s) of the construct(s) that went into the crystallisation drop.  If relevant predictions have already been made, any unreleased models will be released at this point (along with predictions of local accuracy).  If proteins in your crystals are not already modelling targets, the CASP organisers will consider them as potential new targets for the modelling community.

* We all want the fastest possible progress on scientific understanding of Covid-19, and this can best be achieved by completely open science.  On a number of occasions at crystallographic computing schools and workshops, we have seen extremely difficult structures yield to the combined expertise of a number of developers and "power users" of the software, none of whom knew how to solve every problem that arose.  Even before CASP models are available, some other crystallographer may find a way to solve the structure!  So it would be ideal if the sequence information you provide to the CASP organisers was accompanied by a DOI or URL pointing at the diffraction data, preferably in the form of raw images as well as integrated data.  Data from different crystal forms or poorly isomorphous crystals can also be incredibly valuable.  Openness should go both ways, so people who wish to access these data will be asked to agree to immediately release any positive results, even if these fall short of a full structure solution, so that others can build on them.

Best wishes,

Randy Read (in cooperation with the CASP organisers)
-----
Randy J. Read
Department of Haematology, University of Cambridge
Cambridge Institute for Medical Research     Tel: +44 1223 336500
The Keith Peters Building                               Fax: +44 1223 336827
Hills Road                                                       E-mail: rjr27 at cam.ac.uk
Cambridge CB2 0XY, U.K.                              www-structmed.cimr.cam.ac.uk