June 2024 - phenixbb - phenix-online.org

RapiData at SSRL 2024
by Smith, Clyde 17 Nov '24

17 Nov '24

Hi everyone, Applications are now open for the 2024 edition of RapiData at SSRL. RapiData is a practical course in macromolecular X-ray diffraction data collection, data processing and structure solution. The aim of the RapiData course is to educate and train young scientists in data collection and processing methods at synchrotron beamlines, using state-of-the-art software and instrumentation. The course will be held at the Stanford Synchrotron Radiation Lightsource (SSRL) located on the SLAC National Accelerator Laboratory campus in Menlo Park, CA, from April 29 to May 4, 2024. The course will comprise hands-on experiments at the SSRL beamlines, software tutorials, and lectures on the following topics: Specimen preparation, Data collection strategies, X-ray light sources, X-ray detectors, Data reduction, Structure solution by MAD, SAD and Molecular Replacement, Complementary methods (spectroscopy and small angle scattering) Please visit http://smb.slac.stanford.edu/news/rapidata/rapidata-2024/ and use the links on the "Application and Registration" page to apply for the course. The application deadline is January 31, 2024. Successful applicants will be notified early in February 2024 and invited to register and book accommodation at SLAC Stanford Guesthouse at that time. A limited amount of support funding may be available. Please direct questions to Silvia Russi (srussi(a)slac.stanford.edu) or Clyde Smith (csmith(a)slac.stanford.edu).

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Re: [phenixbb] red blobs (Andrea Smith)
by Kay Diederichs 31 Oct '24

31 Oct '24

Hi Andrea, in your case, phenix.refine seems to fill bulk solvent into volumes that are not actually filled by solvent. It might help to optimize the mask, see https://phenix-online.org/documentation/reference/refinement.html#bulk-solv… "6. Mask parameters". Best, Kay -- Kay Diederichs http://strucbio.biologie.uni-konstanz.de email: Kay.Diederichs(a)uni-konstanz.de Tel +49 7531 88 4049 Fachbereich Biologie, Universität Konstanz, Box M647, D-78457 Konstanz This e-mail is digitally signed. If your e-mail client does not have the necessary capabilities, just ignore the attached signature "smime.p7s".

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Ordered solvent in phenix.refine
by Oliver H. Weiergräber 11 Sep '24

11 Sep '24

Hello, after switching from version 1.20 to 1.21, I noticed that the updated list of waters generated by the ordered_solvent option in phenix.refine is no longer numbered sequentially; it seems a final re-numbering step is now skipped. Is this intentional? Of course it can be advantageous to keep waters from changing their numbers, e.g. if they are part of occupancy groups. On a related note, is there a mechanism to protect certain "important" waters from being deleted while all the rest is updated as usual? One obvious option would be a dedicated chain ID, but afaik phenix.refine accepts a chain ID for output but not for input waters ... Best regards, Oliver ================================================== Prof. Oliver H. Weiergräber Institute of Biological Information Processing IBI-7: Structural Biochemistry Forschungszentrum Jülich 52425 Jülich, Germany Tel.: +49 2461 61-2028 Fax: +49 2461 61-9540 ==================================================

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real_space_refine is un-glycosylating my protein
by robert＠oeffner.net 01 Jul '24

01 Jul '24

Hi, I am trying to do a refinement with phenix.real_space_refine (RSR) on an EM map with a protein and a known ligand (NAG is the monomer code). In the pdb file supplied the C1 atom in the NAG molecule is positioned nicely in the EM density at a distance of 1.38Å from a ND2 atom in an ASN residue of the protein. The O1 atom in the NAG molecule is not present suggesting there should be a covalent bond here I believe. Both ASN and the NAG molecule have the same chainID. The problem is that RSR moves the sugar away even though I have used command line options such as pdb_interpretation.automatic_linking.link_carbohydrates=True or even pdb_interpretation.automatic_linking.link_all=True. The atoms end up at an un-bonded distance of 2.85Å from each other after refinement to the point that one of them is poking out of the density. Are my phil parameters incorrect? I noticed that I don't get an error message if I misspell say pdb_interpretation.automatic_linking.link_carbohydrates to pdb_interpretation.automatic_linking.link_carbohydrate. RSR still runs to completion so I'm wondering if it actually interprets the PHIL parameter at all. Another peculiarity is that the log file comments that NAG is an unusual residue rather than stating it is a well-known carbohydrate. If anyone on here knows how to compel phenix RSR into creating automatic links to carbohydrates suggestions would be much appreciated. Many thanks, Rob

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Extra map coefficients in 1.21.1-5286
by Dr. Kevin M Jude 30 Jun '24

30 Jun '24

In my latest installed version of phenix, I find that additional, redundant map coefficients are being added to the output mtz file. I compare an identical refinement originally run in 1.21rc1_5058 and then repeated in 1.21.1-5286. *_filled and *_4 appear to be redundant, and the final sets of coefficients (*_no_fill and *_5), appear to include the test set reflections, even though I’ve selected Exclude R-free set from map coefficients in the gui. This is a little bit confusing, but primarily an annoyance because auto-open mtz in coot can’t figure out which coefficients to use. 1.21rc1_5058 Col Sort Min Max Num % Mean Mean Resolution Type Column num order Missing complete abs. Low High label 1 NONE -42 41 0 100.00 -3.3 16.0 52.38 1.96 H H 2 NONE 0 28 0 100.00 10.3 10.3 52.38 1.96 H K 3 NONE 0 27 0 100.00 10.3 10.3 52.38 1.96 H L 4 NONE -94.4 13012.5 269 98.44 85.01 85.49 45.63 1.96 J I-obs 5 NONE 0.2 337.4 269 98.44 4.44 4.44 45.63 1.96 Q SIGI-obs 6 NONE 0.0 1.0 269 98.44 0.05 0.05 45.63 1.96 I R-free-flags 7 NONE 10.2 2509.6 321 98.14 129.94 129.94 36.90 1.96 F F-obs-filtered 8 NONE 1.3 35.8 321 98.14 10.11 10.11 36.90 1.96 Q SIGF-obs-filtered 9 NONE 0.1 2250.2 321 98.14 125.18 125.18 36.90 1.96 F F-model 10 NONE -180.0 180.0 321 98.14 4.35 89.81 36.90 1.96 P PHIF-model 11 NONE 0.0 2971.8 1165 93.23 117.81 117.81 36.90 1.96 F 2FOFCWT 12 NONE -180.0 180.0 1165 93.23 4.65 89.89 36.90 1.96 P PH2FOFCWT 13 NONE 0.0 2971.8 0 100.00 117.93 117.93 52.38 1.96 F 2FOFCWT_filled 14 NONE -180.0 180.0 0 100.00 4.85 90.05 52.38 1.96 P PH2FOFCWT_filled 15 NONE 0.0 738.9 1165 93.23 46.86 46.86 36.90 1.96 F FOFCWT 16 NONE -180.0 180.0 1165 93.23 4.75 90.35 36.90 1.96 P PHFOFCWT 1.21.1-5286 Col Sort Min Max Num % Mean Mean Resolution Type Column num order Missing complete abs. Low High label 1 NONE -42 41 0 100.00 -3.3 16.0 52.38 1.96 H H 2 NONE 0 28 0 100.00 10.3 10.3 52.38 1.96 H K 3 NONE 0 27 0 100.00 10.3 10.3 52.38 1.96 H L 4 NONE -94.4 13012.5 269 98.44 85.01 85.49 45.63 1.96 J I-obs 5 NONE 0.2 337.4 269 98.44 4.44 4.44 45.63 1.96 Q SIGI-obs 6 NONE 0.0 1.0 269 98.44 0.05 0.05 45.63 1.96 I R-free-flags 7 NONE 10.3 2535.0 321 98.14 131.25 131.25 36.90 1.96 F F-obs-filtered 8 NONE 1.3 36.1 321 98.14 10.21 10.21 36.90 1.96 Q SIGF-obs-filtered 9 NONE 0.0 2261.4 321 98.14 126.66 126.66 36.90 1.96 F F-model 10 NONE -180.0 180.0 321 98.14 3.96 89.82 36.90 1.96 P PHIF-model 11 NONE 0.0 3119.6 1165 93.23 119.71 119.71 36.90 1.96 F 2FOFCWT_1 12 NONE -180.0 180.0 1165 93.23 4.33 89.89 36.90 1.96 P PH2FOFCWT_1 13 NONE 0.0 3119.6 0 100.00 119.85 119.85 52.38 1.96 F 2FOFCWT_filled 14 NONE -180.0 180.0 0 100.00 4.44 90.05 52.38 1.96 P PH2FOFCWT_filled 15 NONE 0.0 780.4 1165 93.23 45.28 45.28 36.90 1.96 F FOFCWT_2 16 NONE -180.0 180.0 1165 93.23 4.21 90.36 36.90 1.96 P PHFOFCWT_2 17 NONE 0.0 3119.6 0 100.00 119.74 119.74 52.38 1.96 F 2FOFCWT_4 18 NONE -180.0 180.0 0 100.00 4.60 90.01 52.38 1.96 P PH2FOFCWT_4 19 NONE 0.0 3119.6 321 98.14 119.56 119.56 36.90 1.96 F 2FOFCWT_no_fill 20 NONE -180.0 180.0 321 98.14 4.40 89.94 36.90 1.96 P PH2FOFCWT_no_fill 21 NONE 0.0 780.4 321 98.14 45.68 45.68 36.90 1.96 F FOFCWT_5 22 NONE -180.0 180.0 321 98.14 4.12 90.23 36.90 1.96 P PHFOFCWT_5 Best wishes Kevin -- Kevin Jude, PhD Structural Biology Research Specialist, Garcia Lab Howard Hughes Medical Institute Stanford University School of Medicine Beckman B177, 279 Campus Drive, Stanford CA 94305 Phone: (650) 723-6431<tel:%28650%29%20723-6431>

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Postdoctoral Job Position in Infectious disease and Small Angle X-ray Scattering
by Susan Tsutakawa 26 Jun '24

26 Jun '24

Dear fellow structural biologists, I would appreciate it if you could forward this message to any graduate students that might be interested. We have an opening for a Postdoctoral Fellow to use small angle X-ray scattering (SAXS) on global health problems and biopreparedness in response to infectious disease work at the SIBYLS <http://bl1231.als.lbl.gov/> Beamline in the Advanced Light Source Synchrotron (ALS) at Lawrence Berkeley National Laboratory (LBNL) In this exciting role, you will work with a multi-disciplinary team of scientists as part of the ArpaH program <https://arpa-h.gov/>, structurally characterizing purified proteins from pandemic-potential organisms and relevant antibodies. The primary technique used will be Small Angle X-ray Scattering, which provides distance information that can reflect protein conformations and complexes in solution. You will work with a team to develop portable instrumentation to enable high throughput SAXS sample handling that can work at other synchrotrons. Through this work, you will develop ties to other national laboratories and within Berkeley Lab, specifically within the National Energy Research Scientific Computing Center (NERSC <https://www.nersc.gov/>), a division within the Computing Sciences Area’s <https://cs.lbl.gov/>. Prior experience in structural biology, protein biochemistry, and basic programming would be advantageous. Experience in SAXS is not a requirement. For more details. please see https://lbl.taleo.net/careersection/2/jobdetail.ftl?job=102111 This position has an anticipated start date of September 1, 2024. LBNL is located in the San Francisco Area in Berkeley, CA. Sincerely, Susan Tsutakawa Head of Structural Biology Molecular Biophysics and Integrated Bioimaging Biosciences Area Lawrence Berkeley National Laboratory.

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Multiple postdoctoral and Ph.D. positions at IBS (Grenoble)
by Elke De Zitter 26 Jun '24

26 Jun '24

Dear all, We have four immediate openings for postdoctoral researchers and one opening for a Ph.D. student in the DYNAMOP group at the Institute for Structural Biology in Grenoble (France). The first postdoctoral project focuses on the development and optimization of bio-scavengers targeting toxic compounds. The researcher with use time-resolved crystallography and in silico design methodologies. Interested candidates can find more information at [ https://www.ibs.fr/en/careers/job-offers/two-year-postdoctoral-position-for… | https://www.ibs.fr/en/careers/job-offers/two-year-postdoctoral-position-for… ] (application deadline: 12/07/2024 ). In the second postdoctoral project, the researcher will study the binding of toxic compounds to their physiological target and subsequent chemical reactivation via time-resolved crystallography. The third postdoctoral project is focused on the development of an experimental approach for the determination of the photoinduced structural dynamics of photosensitive biomolecules both in vitro and in cell using time-resolved X-ray scattering techniques. More information and the application procedure can be found on [ https://emploi.cnrs.fr/Offres/CDD/UMR5075-VALLAN-024/Default.aspx?lang=EN | https://www.ibs.fr/en/careers/job-offers/two-year-postdoctoral-position-for… ] (application deadline 30/06/2024). In the fourth postdoctoral project, the researcher will apply serial diffraction techniques (SSX, SFX, SED) to structurally study natural and recombinant protein nanocrystals Last, a 3-year funded PhD fellowship is available to explore the structural dynamics of the orange carotenoid protein by means of time-resolved serial crystallography. Applicants for the postdoctoral positions must have obtained a Ph.D. in structural biology, biophysics, biochemistry, physics, chemistry, or a related field. The candidates must show a track-record of publications in peer-reviewed journals. Applicants for the Ph.D. position are expected to have a master's degree in one of the above mentioned fields. All candidates are expected to be proficient in English and highly motivated to learn new skills. The candidates need to be a good team player as well as being capable of working independently. For inquiries regarding the positions and application processes, please contact Elke De Zitter ( [ mailto:[email protected] | elke.de-zitter(a)ibs.fr ] ), Martin Weik ( [ mailto:[email protected] | martin.weik(a)ibs.fr ] ), Giorgio Schiro ( [ mailto:[email protected] | giorgio.schiro(a)ibs.fr ] ) or Jacques-Philippe Colletier ( [ mailto:[email protected] | jacques-philippe.colletier(a)ibs.fr ] ) Best regards, Martin, Giorgio, Jacques-Philippe and Elke Elke De Zitter Institut de Biologie Structurale - IBS group DYNAMOP 71 avenue des Martyrs 38044 Grenoble Cedex 9, France +33 4 57 42 86 56 elke.de-zitter(a)ibs.fr

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Hardware migration
by Billy Poon 19 Jun '24

19 Jun '24

Hi everyone, We are in the process of migrating these bulletin boards to new hardware over the next few weeks. I will make another post once the migration is completed. Nothing will be changed until then. Thanks! -- Billy K. Poon Research Scientist, Molecular Biophysics and Integrated Bioimaging Lawrence Berkeley National Laboratory 1 Cyclotron Road, M/S 33R0345 Berkeley, CA 94720 Fax: (510) 486-5909 Web: https://phenix-online.org

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Test post
by Billy Poon 18 Jun '24

18 Jun '24

This is a test message using the new hardware. -- Billy K. Poon Research Scientist, Molecular Biophysics and Integrated Bioimaging Lawrence Berkeley National Laboratory 1 Cyclotron Road, M/S 33R0345 Berkeley, CA 94720 Fax: (510) 486-5909 Web: https://phenix-online.org

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C-beta outliers
by Andrea Smith 14 Jun '24

14 Jun '24

Hi all, I am running Phenix v. 1.20.1-4487 on Windows and I keep on getting C-beta outliers of methionine residues after phenix.refine (happened in different data from two different proteins). Even if I correct the methionines in Coot (and they fit perfectly in the density), I get the outliers at the end of refinement again (while these outliers don't fit the density and I can see a green difference map where the C-beta is). Why is this? Is there a way to tell phenix.refine not to move a specific amino acid during refinement? Thanks, Andrea

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