- phenixbb - phenix-online.org

Phenix version 1.13 released
by Paul Adams 09 Jan '18

09 Jan '18

The Phenix developers are pleased to announce that version 1.13 of Phenix is now available (build 1.13-2998). Binary installers for Linux, Mac OSX, and Windows platforms are available at the download site: http://phenix-online.org/download/ Highlights for this version: - phenix.map_to_model - better symmetry support and improved runtime efficiency - phenix.structure_search - structural library and internal support for mmCIF - phenix.ligand_identification - limit ligand size for search - Phaser 2.8.1 - various bug fixes - Structure Comparison - more/improved validation information (ligands, waters, cis/trans peptides, HIS protonation) - GUI - automatic validation after phenix.real_space_refine; visual improvements in validation - Improved handling of model mmCIF input/output - New Phenix video tutorials - Internal bug fixes and performance improvements - NEW FEATURES - Phenix.map_to_model: - Allows cases where symmetry that is neither point-group nor helical is present - Allows splitting runs into many small independent steps - Set defaults for quick=True to run somewhat more quickly - GUI - Validation information added to phenix.real_space_refine results - phenix.real_space_refine GUI accepts input for reference models - Polygon stand-alone GUI deprecated; rolled into Comprehensive Validation GUI - Old Polygon jobs cannot be restored - Validation GUI - Stoplight colors (green/orange/red) added to validation summary - In rotamer outlier table, uncalculated chi angles now display blank instead of None - Validation table columns adjusted to reduce whitespace - Updated dependencies - Python 2.7.13 -> 2.7.14 - Boost 1.56 -> Boost 1.63 - Numpy 1.8.1 -> 1.8.2 - phenix.structure_search: - Updated to November 2017 RCSB non-redundant library (representatives of 100% sequence-identity clusters.) - Changed to mmcif-based coordinate handling internally. - phenix.ligand_identification: - Added search limit on ligand sizes (Non-H atoms) - Run LigandFit algorithm internally as default. - Phaser-2.8.1 - bugfixes - anisotropy correction of map coefficients after MR - detection of duplicate solutions - correct cell for PDB after refinement of cell for input data - packing places molecules near origin in compact arrangement - Structure Comparison - Updated to include favoured, allowed and outliers for validations tabs such as rotamers - Add featurs such as ligands information & locations; water locations; cis/trans peptides; and histidine protonation - General increase of robustness and flexibility - Greater flexibility for model/data input including directory tree travesal and user defined scripts - Restraints - Added better SF4 restraints - Added mechanism to improve SF4 linking - Various performance enhancements - Better handling of model mmCIF input/output - New Phenix video tutorials: - Cryo-EM tools in Phenix - overview - How to run MolProbity - step by step (web interface and Phenix GUI) - MolProbity: All atom contacts tutorial For a full list of changes see: http://www.phenix-online.org/documentation/CHANGES Please note that this publication should be used to cite use of Phenix: PHENIX: a comprehensive Python-based system for macromolecular structure solution. P. D. Adams, P. V. Afonine, G. Bunkóczi, V. B. Chen, I. W. Davis, N. Echols, J. J. Headd, L.-W. Hung, G. J. Kapral, R. W. Grosse-Kunstleve, A. J. McCoy, N. W. Moriarty, R. Oeffner, R. J. Read, D. C. Richardson, J. S. Richardson, T. C. Terwilliger and P. H. Zwart. Acta Cryst. D66, 213-221 (2010). Full documentation is available here: http://www.phenix-online.org/documentation/ There is a Phenix bulletin board: http://www.phenix-online.org/mailman/listinfo/phenixbb/ Please consult the installer README file or online documentation for installation instructions. Direct questions and problem reports to the bulletin board or: help(a)phenix-online.org and bugs(a)phenix-online.org Commercial users interested in obtaining access to Phenix should visit the Phenix website for information about the Phenix Industrial Consortium. The development of Phenix is principally funded by the National Institute of General Medical Sciences (NIH) under grant P01-GM063210. We also acknowledge the generous support of the members of the Phenix Industrial Consortium. -- Paul Adams Division Director, Molecular Biophysics & Integrated Bioimaging, Lawrence Berkeley Lab Division Deputy for Biosciences, Advanced Light Source, Lawrence Berkeley Lab Adjunct Professor, Department of Bioengineering, U.C. Berkeley Vice President for Technology, the Joint BioEnergy Institute Laboratory Research Manager, ENIGMA Science Focus Area Building 33, Room 347 Building 978, Room 4126 Tel: 1-510-486-4225, Fax: 1-510-486-5909 http://cci.lbl.gov/paul Lawrence Berkeley Laboratory 1 Cyclotron Road BLDG 33R0345 Berkeley, CA 94720, USA. Executive Assistant: Louise Benvenue [ LBenvenue(a)lbl.gov ][ 1-510-495-2506 ] --

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How to change the FOBS/SIGMA_FOBS value in phenix.refine
by 齐建勋 08 Jan '18

08 Jan '18

Dear PhenixBB, Is there place to set the I/SIGMA_I or FOBS/SIGMA_FOBS values in phenix.refine? I found the default FOBS/SIGMA_FOBS threshold in phenix.refine is 1.35, which means any reflection lower than 1.35 will be excluded in the refinement process. This will generally result in a lower completeness range especially for the relatively weak datasets. When I uses the xray_data.remove_outliers=False, I got the error message "Sorry: Unknown command line parameter definition: remove_outliers = False", and my PHENIX version is phenix-1.12-2829, thanks. Regards Jianxun ******************************************************************* Dr. Jianxun Qi A321, Institute of Microbiology, Chinese Academy of Sciences No.1 West Beichen Road, Chaoyang District Beijing 100101, China Email: jxqi(a)im.ac.cn Tel : 86-10-64806182 *******************************************************************

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Install Problem Linux CentOs 5
by Whitley, Matthew J 03 Jan '18

03 Jan '18

Hello all, We are trying to install the new 1.13-2998 release of Phenix on 64 bit Linux CentOs 5 and have run into some problems. We are logged in as root, and we were able to unzip and untar the archive with no problem. However, when we run the install script, we immediately get the following errors: root@linux7 phenix-installer-1.13-2998-intel-linux-2.6-x86_64-centos5]# ./install Traceback (most recent call last): File "./bin/install.py", line 20, in ? from libtbx.auto_build import install_distribution File "/usr/local/phenix-installer-1.13-2998-intel-linux-2.6-x86_64-centos5/lib/libtbx/auto_build/install_distribution.py", line 75, in ? from libtbx.auto_build import install_base_packages File "/usr/local/phenix-installer-1.13-2998-intel-linux-2.6-x86_64-centos5/lib/libtbx/auto_build/install_base_packages.py", line 864 os.chmod(filename, 0o755) # set permissions to -rwxr-xr-x ^ SyntaxError: invalid syntax [root@linux7 phenix-installer-1.13-2998-intel-linux-2.6-x86_64-centos5]# Any idea as to what the source of the problem is and how to get around it? Thanks for your help. Matthew Whitley --- Matthew J. Whitley, Ph.D. Research Instructor Department of Pharmacology & Chemical Biology University of Pittsburgh School of Medicine

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target bond/angle RMS deviations from ideal
by wtempel 13 Dec '17

13 Dec '17

Hello all, the documentation <https://www.phenix-online.org/documentation/faqs/refine.html> states that This is somewhat controversial, but absolute upper limits for a well-refined protein structure at high resolution are typically 0.02 for RMS(bonds) and 2.0 for RMS(angles); usually they will be significantly lower. I understand that exceedingly high RMSDs from ideal could indicate overfitting. On the other hand, local deviations from ideal geometry may point to correctable modeling errors, and I am concerned that overly tight restraints may cause that diagnostic tool to become less sensitive, or local errors to be spread in to the model. For what bond and angle rms deviations from ideal do my colleagues on the BB aim and how have they arrived at those targets? Did my web search miss a relevant paper? Thank you in advance. Wolfram Tempel

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Announcing the release of the Detergent Belt Server
by vincent Chaptal 13 Dec '17

13 Dec '17

This message is especially directed towards the membrane proteins community. Dear everyone, we are very pleased to announce the release of the Detergent Belt Server -> http://detbelt.ibcp.fr Following our discovery of a method to quantify detergents around membrane proteins, we have build the detbelt server to allow for a simple _representation of the detergent belt around your protein of interest_. This representation is a simple approximation and grants a rapid estimation of the detergent belt, especially fitted to _biochemists_ to better understand what is going on in your test tube. (Details on the server and the publication of the detergent quantification method are available on the tutorial page). The server allows you to play with different detergents interactively by recomputing the belt in your web browser, which allows you to refine your biochemical hypothesis. The server allows you to add several detergents, each with different values, and will compute the volume associated with these detergents mixtures. It outputs different metrics making it easier to compare detergent-occupied volumes, and a PyMOL script to generate a publication quality image. For the moment, membrane protein pdb file should be pre-oriented using the PPM server procedure as it runs slow on the server; please visit the tutorial web page for more details (see "1"). We are working towards speeding up this process and making it all integrated in the near future. For testing purposes, I attach a pre-oriented pdb so that you can have an idea of the information you can obtain. Finally, we welcome any feedback to this alpha release; we welcome bug reports as well as creative feedback: if you think this tool has some potential for your research, please contact us and we will see what can be done. Wishing you good visualization All the best The DetBelt team -- Vincent Chaptal, PhD Institut de Biologie et Chimie des Protéines Drug Resistance and Membrane Proteins Laboratory 7 passage du Vercors 69007 LYON FRANCE +33 4 37 65 29 01 http://www.ibcp.fr

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reference_xray_structure
by yamei yu 06 Dec '17

06 Dec '17

Dear all, I want to use “reference model” in a low resolution structure refinement. Do I need to set this parameter “reference_xray_structure”? What does “reference_xray_structure” stand for? Many thanks and best wishes ************************************************ Yamei Yu Associate Professor State Key Laboratory of Biotherapy／Collaborative Innovation Center of Biotherapy, West China Hospital, Sichuan University,Chengdu,610041, P.R.China Tel: 15882013485 Email: ymyuxtal(a)gmail.com ymyuxtal(a)163.com yamei_yu(a)scu.edu.cn

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Re: [phenixbb] Is it harmful to to use Imean SigImean in Phenix Refine by default?
by Jeffrey, Philip D. 04 Dec '17

04 Dec '17

To put this in context: I originally wrote that page when phenix.refine used a |F|>0 cutoff in refinement. Given that I<0 often results in |F|=0 after the conversion the program threw out data for which we knew something (i.e. it was weak) albeit imprecisely. That was a self-evidently bad idea. However the defaults in phenix.refine have changed and as Ed Berry observes it does emulate CCP4's TRUNCATE now (in "truncate yes" mode, probably). I convert my data with CCP4's TRUNCATE or CTRUNCATE programs. For strong data I don't apply the French and Wilson intensity data remapping. For weak data I do - but only for refinement purposes, not for SAD/MAD phasing. My standard ploy is to use CAD to strip out Imean and SigImean from the MTZ file so that phenix.refine cannot attempt to "outsmart" me again. And by outsmart I really mean "usurp my intentions". I would suggest that everyone do the same - or at least test the difference. My known bias is to trust CCP4 programs more. Cheers Phil Jeffrey Princeton ________________________________ From: phenixbb-bounces(a)phenix-online.org [phenixbb-bounces(a)phenix-online.org] on behalf of Xiao Lei [xiaoleiusc(a)gmail.com] Sent: Saturday, December 02, 2017 9:05 PM To: PHENIX user mailing list Subject: [phenixbb] Is it harmful to to use Imean SigImean in Phenix Refine by default? Dear All, I noticed Phenix refine default settings are using data labels "Imean" and "SigImean" instead of F and SigF. I searched this on the internet and found a post that titled "Phenix.refine Defaults Considered Harmful" ( web link http://xray0.princeton.edu/~phil/Facility/phenix_fubar.html ). One point in this post shows that "the first thing the program does is ignore that structure factor data and use the IMEAN data instead." This may force rejecting weak data according to the post. The latest Phenix version may be updated from the version the post author used, I wonder if this risk is still in the newest version of Phenix ?

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Is it possible to restrain Cartesian NCS for ligands?
by Edward A. Berry 03 Dec '17

03 Dec '17

Is it possible to restrain cartesian NCS for ligands in phenix.refine? I included a ligand in an paired ncs-group and it seems to be omitted from the listing of those groups in the log file. When I made an ncs_group including only ligands, it halted complaining of empty selection. Ed

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Is it harmful to to use Imean SigImean in Phenix Refine by default?
by Xiao Lei 03 Dec '17

03 Dec '17

Dear All, I noticed Phenix refine default settings are using data labels "Imean" and "SigImean" instead of F and SigF. I searched this on the internet and found a post that titled "Phenix.refine Defaults Considered Harmful" ( web link http://xray0.princeton.edu/~phil/Facility/phenix_fubar.html ). One point in this post shows that "the first thing the program does is ignore that structure factor data and use the IMEAN data instead." This may force rejecting weak data according to the post. The latest Phenix version may be updated from the version the post author used, I wonder if this risk is still in the newest version of Phenix ?

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Computational Crystallography Newsletter (CCN) submissions
by Nigel Moriarty 20 Nov '17

20 Nov '17

Folks Calling for articles and short communications of interest to structural biologists. The initial deadline for submission for the January 2018 issue is 20 December 2017. The Computational Crystallography Newsletter (CCN) is an electronic newsletter for structural biologists, and is published online every 6 months. Feature articles, meeting announcements and reports can be submitted to me at any time for consideration. Submission of text by email or word-processing files using the CCN templates is requested. Past newsletters and a Microsoft Word template are available at www.phenix-online.org/newsletter. Cheers Nigel --- Nigel W. Moriarty Building 33R0349, Molecular Biophysics and Integrated Bioimaging Lawrence Berkeley National Laboratory Berkeley, CA 94720-8235 Phone : 510-486-5709 Email : NWMoriarty(a)LBL.gov Fax : 510-486-5909 Web : CCI.LBL.gov

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