- phenixbb - phenix-online.org

Public resource for the structures, validation and re-modelling of Corona virus macromolecules
by Andrea Thorn 27 Mar '20

27 Mar '20

Dear colleagues, we are methods developers in structural biology. During this time of crisis, we decided to put our brains to where our hearts are and have started a public resource for the structures from beta-coronavirus with a focus on SARS-CoV and SARS-CoV-2: https://github.com/thorn-lab/coronavirus_structural_task_force It can be used to download all relevant structures, look at structural validation information, diagnostic data for the quality of experimental data and available re-refinements. We will expand this resource in time, but as of today, it contains all deposited SARS-CoV and SARS-CoV-2 structures, sorted by protein and virus, PDB-REDO entries, diffraction data diagnostics from AUSPEX and PHENIX.XTRIAGE, WHATCHECK reports and Tristan Croll's fantastic manual ISOLDE re-refinements. We will soon add MOLPROBITY to lighten the traffic on the server at Duke, individual links to Global Phasing's efforts in re-processing and re-refinement of individual structures and HARUSPEX map annotations for the Cryo-EM structures. We may point out potential improvements in some structures in these data, but this is not meant as criticism of the achievements of the researchers who first elucidated these structures! It merely reflects on recent progress in methods development and the potential to push our methods to their limit in order to get every last bit of biological information from a given data set. We hope this can make a (small) difference for a cure of COVID-19. If you have any questions or would like to contribute, please let me know! Andrea Thorn. The collaborators, as of today, are: myself, Yunyun Gao, Kristopher Nolte, Ferdinand Kirsten, Sabrina Stäb (RVZ, University of Würzburg, Germany) Gianluca Santoni (European Synchrotron Facility, France) Tristan Croll (CIMR, University of Cambridge, UK) The Richardson Laboratory (Duke University, USA) We would also like to thank for their advice: Sameer Velankar, James Holton, Manfred Weiss, Gerard Bricogne, Clemens Vonrhein and Robbie Joosten. -- Dr. Andrea Thorn | group leader andrea.thorn(a)uni-wuerzburg.de +49 931 31-83677 Rudolf Virchow Center, University of Wuerzburg Josef-Schneider-Str. 2 | 97080 Wuerzburg | Germany https://www.uni-wuerzburg.de/en/rvz/research/associated-research-groups/tho…

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How to generate LLG map
by afshan begum 26 Mar '20

26 Mar '20

Dear expert, I have collect the data with the bound ligand at 1.4 Å . The ligand contain the sulphate molecule in its ,how could we generate the anamolous signal of sulphate ion to confirm its presence in the structure, actually there are very clear density of the full ligand molecules except for the SO3 ion . As I did it before via phenix but I completely forget it was 4 years ago I used to generate the LLG map for the presence of chloride ion . Many thanks Afshan Sent from my iPhone

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COVID-19 - help design protease inhibitors - 1st round Thurs midnight
by Frank Von Delft 26 Mar '20

26 Mar '20

To all you structural biologists locked out of your labs, bored with answering emails or writing your non-COVID paper, and itching all your lives to be medicinal chemists, here's your chance: https://covid.postera.ai/covid And you get to do something directly on COVID too. It's easy: * stare at the pile of fragments we found bound to the SARS-CoV-2 Main Protease in our somewhat epic XChem fragment screen<https://www.diamond.ac.uk/covid-19/for-scientists/Main-protease-structure-a…> this month (alluded to by others) * see if you can spot cool ways of (especially) merging those hits - or anything else * draw the compound onto that page * hit submit It's actually a bit harder than it sounds - so we're betting that many brains will crack the nut of hitting potency in one go (!). We will do the rest - well, we'll try, if the Filters Approve and the Funds Permit -- and even for that, you can contribute, or tell people that could contribute (details on that page). First collection closes tomorrow (Thurs) midnight Pacific Time (but there will be more). Yes, it is a huge social experiment and a total crapshoot - but we must do something! So thank you for all and any help... *** Do forward to anybody relevant, especially experienced medicinal chemists. *** If you know virology labs set up to do SARS-CoV-2 assays, email the address on that page. *** If you have help to offer or wisdom to share, do so on the forums on that page *** If you want to use the data for anything else - PLEASE DO - we were anxious to push it out ahead of PDB release cycle or getting preprint written. Frank -- Prof Frank von Delft Professor for Structural Chemical Biology Principal Beamline Scientist: I04-1 and XChem Diamond Light Source +44 1235 778997 (office: M,T,T) +44 7471 026103 (mobile) Principal Investigator: Protein Crystallography Structural Genomics Consortium Oxford University +44 1865 617583 (office: W,F)

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Rapid access to COVID-19 related fragment screening
by Fearon, Daren (DLSLtd,RAL,LSCI) 25 Mar '20

25 Mar '20

Dear all, As part of Diamond's effort to combat COVID-19, we are offering fragment screening expertise and infrastructure to users working on COVID-19 related targets (as demonstrated by the recent fragment screening campaign against SAR-CoV-2 Main protease<https://www.diamond.ac.uk/covid-19/for-scientists/Main-protease-structure-a…>). In order to submit a proposal for COVID-19 related research please complete the Rapid Access Form<https://fs3.formsite.com/DiamondLightSource/nynlkya9ks/index.html> and send a completed XChem Application Form<https://www.diamond.ac.uk/dam/jcr:690e7c9d-7b4c-4a7d-bc58-9101e9af4df8/XChe…> to covid19access(a)diamond.ac.uk<mailto:[email protected]>. Due to access and travel restrictions, experienced XChem staff will prepare samples on-site, organise unattended data collection and analyse the data using the XCE pipeline. All data will then be made available to the users and as open access through Fragalysis <https://fragalysis.diamond.ac.uk/viewer/react/landing> and the Diamond webpage. Further details regarding crystal system requirements, available fragment libraries and screening protocols can be found here<https://www.diamond.ac.uk/Instruments/Mx/Fragment-Screening.html>. Kind regards, Daren Dr Daren Fearon XChem Beamline Scientist Diamond Light Source Ltd Harwell Science & Innovation Campus Didcot Oxfordshire OX11 0DE Tel: 01235 778936 Email: daren.fearon(a)diamond.ac.uk<mailto:[email protected]> Web: www.diamond.ac.uk<http://www.diamond.ac.uk/> -- This e-mail and any attachments may contain confidential, copyright and or privileged material, and are for the use of the intended addressee only. If you are not the intended addressee or an authorised recipient of the addressee please notify us of receipt by returning the e-mail and do not use, copy, retain, distribute or disclose the information in or attached to the e-mail. Any opinions expressed within this e-mail are those of the individual and not necessarily of Diamond Light Source Ltd. Diamond Light Source Ltd. cannot guarantee that this e-mail or any attachments are free from viruses and we cannot accept liability for any damage which you may sustain as a result of software viruses which may be transmitted in or with the message. Diamond Light Source Limited (company no. 4375679). Registered in England and Wales with its registered office at Diamond House, Harwell Science and Innovation Campus, Didcot, Oxfordshire, OX11 0DE, United Kingdom

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Covid-19: open science to harness synergies in structure prediction and structure solution
by Randy Read 24 Mar '20

24 Mar '20

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(a)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(a)cam.ac.uk Cambridge CB2 0XY, U.K. www-structmed.cimr.cam.ac.uk ----- 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(a)cam.ac.uk Cambridge CB2 0XY, U.K. www-structmed.cimr.cam.ac.uk

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Re: [phenixbb] [ccp4bb] Se SAD phasing map becomes worse after refinement
by Randy Read 24 Mar '20

24 Mar '20

Dear Zhu, Questions specific to Phenix should really go to the Phenix-BB, so I am cross-posting my reply there. Here I’ll focus more on generic issues. There are also CCP4 tools that you could consider and presumably other people will offer advice on those. One point you raise comes up so much that we have an entry in our FAQ (https://www.phaser.cimr.cam.ac.uk/index.php/FAQ) about it: “Can I use Phaser to check the correctness of a model I have already built and refined?” The answer is no, because once you’ve refined the model it becomes better than random at predicting the data and therefore achieves a high LLG score, regardless of whether or not it is correct. In this case, you might be able to use Phaser to help complete the model if one of the two copies of the complex is more completely modelled than the other. If, say, you had a model for one copy you could fix that and search for a second copy: this should work because the refinement didn’t know anything about the second copy. Phenix.autosol attempts to determine the NCS operators, so you need to check whether that has succeeded. If not, you might need to try some more manual approaches to defining the NCS, which would help a great deal in map improvement. Tom Terwilliger might answer this in more detail (perhaps on the Phenix-BB), but I don’t think you can build protein and nucleic acid in the same job, so you should look at the documentation to see how to do that. Good luck! Randy Read ----- 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(a)cam.ac.uk Cambridge CB2 0XY, U.K. www-structmed.cimr.cam.ac.uk > On 24 Mar 2020, at 04:31, Zhu Qiao <jasonqiao03(a)GMAIL.COM> wrote: > > Dear All > > I am sorry for the long context. > > I have one protein (252 AAs, 2 Met) bound to double-stranded DNA (24 bp) crystalized. I collected the Se-Met data of the crystal in C222 up to 2.8 angstrom. the space group is confirmed by running the pointless. > > I used the Phenix.Autosol to find the heavy atoms and get a quite nice map after the density modification. It seems there are two proteins and two DNA duplex are in one ASU. Phenix.Autobuild can only build less than half of the protein sequence into the map and fill in the potential DNA map with amino acids. The Rwork/Rfree is 0.40 and 0.46, with the map CC=0.60. If I do the MR with the initial model built by Autobuild, the result TFZ=40, LLG=200+, which suggests the partial correction of the initial model. > > Here is the problem. From the map, I can see one of my protein domain and a clear feature of DNA double helix. But whatever I go further for manual build using coot, like building the DNA double-strand into the map and building the resolved domain, the refinement statistics go bad with R free ~0.50. > > I am wondering what's going wrong and how come the refinement can't improve the R factor. > > I have attached the relevant photos. > https://drive.google.com/drive/folders/1dJ4kn7CEHkCL3sMcCJtBqa5OsVFQngBx?us… > > > Sincerely > Zhu > > ######################################################################## > > To unsubscribe from the CCP4BB list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=CCP4BB&A=1

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New cctbx conda packages for testing
by Billy Poon 20 Mar '20

20 Mar '20

Hi everyone, Sorry for the long delay, the current Phenix release and helping out with an experiment at SACLA earlier in the year, took priority. But I have been able to clean up the cctbx conda packages that I built at the end of last year. The major differences are as follows. 1) Windows packages are available for Python 2.7, 3.6, and 3.7. It's not clear why conda-build is having issues with Python 3.8, so I'm still sorting it out. 2) The full repositories are copied now. As a consequence, you'll be able to run some tests like "libtbx.run_tests_parallel module=cctbx nproc=24" and all the tests will run. 3) The LIBTBX_BUILD environment variable is no longer needed, so it is not set on activation of the conda environment. 4) The libtbx.configure and libtbx.refresh commands are removed from the conda package until the ability to configure/build against the conda installation of cctbx is available. Currently, those commands will break the environment. The linux and macOS packages support Python 2.7, 3.6, 3.7, and 3.8, just like before. The command to create a new environment is, conda create -n test -c cctbx-dev cctbx python=<python version> If "python=<python version>" is left out, the default Python version will be 3.8. To install cctbx into the currently active conda environment, the command is, conda install -c cctbx-dev cctbx The packages are currently on the cctbx-dev channel, but the goal is to get official packages into conda-forge. To get the cctbx recipe into conda-forge (https://github.com/conda-forge/staged-recipes/pull/10021), we'll need an official release. I've opened up an issue on GitHub ( https://github.com/cctbx/cctbx_project/issues/451). Please provide any feedback on the versioning system, release schedule, and anything release related. Let us know if you're scripts are not working with these packages. Thanks! -- Billy K. Poon Research Scientist, Molecular Biophysics and Integrated Bioimaging Lawrence Berkeley National Laboratory 1 Cyclotron Road, M/S 33R0345 Berkeley, CA 94720 Tel: (510) 486-5709 Fax: (510) 486-5909 Web: https://phenix-online.org

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Generating electron density from protein coordinate (PDB)
by Kit Sang Chu 20 Mar '20

20 Mar '20

Dear phenix users, Although phenix in general is used to convert electron density into protein coordinates (PDB), I am interested in retrieving electron density of an optimized PDB, hopefully at a resolution of ~1-2A. Since there could be manipulation of the coordinate file upstream, some crystal structure information could be lost. I notice that phenix generates structure factor from coordinates (assuming P1 symmetry) by phenix.fmodel. However, the conversion from structure factor to electron density requires a normalization constant (sum of atomic form factors). I am still trying to identify the correct function to use to output a non-binary output format. phenix.maps might work but I am unsure about the map_type. If anyone is willing to provide some suggestions, that would be very helpful. Sincerely, Simon

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Re: [phenixbb] Transferring Phenix home
by Engin Özkan 19 Mar '20

19 Mar '20

There is an Import Project function in the Projects pull-down menu (on a Mac; don't know where that would be in linux/Windows). If you copy your entire project folder, including the .phenix subfolder, to a second computer, you can import the project using the Import Project function, and the project will be added to your current list of projects on the second computer. Used to work well several years ago, probably still works well. Engin On 3/18/20 4:36 PM, Boaz Shaanan wrote: > Hi, I have done this (moving phenix stuff between computers) a few > times on linux os (ubuntu's versions). Just backup your whole > phenix-projects directory on your computer (from the top down to all > the sub-dirs) and dump it onto the new computer. Your projects will > show up in the gui, don't worry. > It worked for me. > Stay safe. > Cheers, > Boaz > > Boaz Shaanan, Ph.D. > Department of Life Sciences > Ben Gurion University of the Negev > Beer Sheva > Israel > > On Mar 18, 2020 23:23, csteussy <csteussy(a)purdue.edu> wrote: > All, > > In this age of self quarantine I have moved a number of my PHENIX > projects home. All the working subdirectories have a .phenix entry. Is > there a way to incorporate the history of the projects from work to my > home installation. Starting the GUI shows none of it. > > Both of these are Ubuntu 18.04 and I have sudo privileges. > > Thanks in advance. > > Nic out > > _______________________________________________ > phenixbb mailing list > phenixbb(a)phenix-online.org > http://phenix-online.org/mailman/listinfo/phenixbb > Unsubscribe: phenixbb-leave(a)phenix-online.org > > _______________________________________________ > phenixbb mailing list > phenixbb(a)phenix-online.org > http://phenix-online.org/mailman/listinfo/phenixbb > Unsubscribe: phenixbb-leave(a)phenix-online.org

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Raw diffraction images for SARS-CoV-2 related structures
by Gerard Bricogne 18 Mar '20

18 Mar '20

Dear colleagues, Perusal and some initial (re-)refinement of the various SARS-CoV-2 protease structures in the PDB seems to indicate that that there might be potential to improve these if refinements could be repeated after some reprocessing and further analysis of the raw diffraction images, rather than against the deposited merged data. This statement should in no way be construed as a criticism of the remarkable achievements of the research groups concerned, who have been operating under tremendous time pressure, but as an exciting opportunity to push methods to their limits on a uniquely significant class of structures. Another consideration is that the various logistical problems created by COVID-19 may soon make it increasingly difficult to collect new diffraction data on potential drug targets relevant to the fight against SARS-CoV-2, underlining the importance of ensuring that the best results be obtained from every dataset actually collected, and that the most useful conclusions be drawn from the analysis of those datasets towards improving the quality of subsequent data collections. On this basis we would like to propose that special efforts be made to grant public access to the raw image data associated with any SARS-CoV-2 related structure that is deposited into the PDB. This can be done by (1) archiving these raw image data using resources such as data.sbgrid.org, zenodo.org, proteindiffraction.org or any other cloud-based data-sharing service, and (2) communicating the corresponding DOIs to the wwPDB centres. This idea could be extended to datasets that investigators would like to offer to interested methods developers or expert users at the pre-deposition stage. Experts making use of those raw data would be encouraged to document, in as much detail as possible, how particular programs or workflows could be used on those structures/datasets to obtain the best results. This would be a kind of "virtual workshop", a particularly valuable collective activity at the present time when several in-person workshops (e.g. RapiData) have been cancelled and many meetings are in limbo for several months. The latter activity would benefit from having a centralised facility set up for the experts to post their results and annotations: we could create such a facility, but other, larger groups might want to consider doing so. With best wishes, Clemens & Gerard.

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