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The PDB_REDO server for macromolecular structure model optimization

The refinement and validation of a crystallographic structure model is the last step before the coordinates and the associated data are submitted to the Protein Data Bank (PDB). The success of the refinement procedure is typically assessed by validating the models against geometrical criteria and th...

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Autores principales: Joosten, Robbie P., Long, Fei, Murshudov, Garib N., Perrakis, Anastassis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107921/
https://www.ncbi.nlm.nih.gov/pubmed/25075342
http://dx.doi.org/10.1107/S2052252514009324
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author Joosten, Robbie P.
Long, Fei
Murshudov, Garib N.
Perrakis, Anastassis
author_facet Joosten, Robbie P.
Long, Fei
Murshudov, Garib N.
Perrakis, Anastassis
author_sort Joosten, Robbie P.
collection PubMed
description The refinement and validation of a crystallographic structure model is the last step before the coordinates and the associated data are submitted to the Protein Data Bank (PDB). The success of the refinement procedure is typically assessed by validating the models against geometrical criteria and the diffraction data, and is an important step in ensuring the quality of the PDB public archive [Read et al. (2011 ▶), Structure, 19, 1395–1412]. The PDB_REDO procedure aims for ‘constructive validation’, aspiring to consistent and optimal refinement parameterization and pro-active model rebuilding, not only correcting errors but striving for optimal interpretation of the electron density. A web server for PDB_REDO has been implemented, allowing thorough, consistent and fully automated optimization of the refinement procedure in REFMAC and partial model rebuilding. The goal of the web server is to help practicing crystallo­graphers to improve their model prior to submission to the PDB. For this, additional steps were implemented in the PDB_REDO pipeline, both in the refinement procedure, e.g. testing of resolution limits and k-fold cross-validation for small test sets, and as new validation criteria, e.g. the density-fit metrics implemented in EDSTATS and ligand validation as implemented in YASARA. Innovative ways to present the refinement and validation results to the user are also described, which together with auto-generated Coot scripts can guide users to subsequent model inspection and improvement. It is demonstrated that using the server can lead to substantial improvement of structure models before they are submitted to the PDB.
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spelling pubmed-41079212014-07-28 The PDB_REDO server for macromolecular structure model optimization Joosten, Robbie P. Long, Fei Murshudov, Garib N. Perrakis, Anastassis IUCrJ Research Letters The refinement and validation of a crystallographic structure model is the last step before the coordinates and the associated data are submitted to the Protein Data Bank (PDB). The success of the refinement procedure is typically assessed by validating the models against geometrical criteria and the diffraction data, and is an important step in ensuring the quality of the PDB public archive [Read et al. (2011 ▶), Structure, 19, 1395–1412]. The PDB_REDO procedure aims for ‘constructive validation’, aspiring to consistent and optimal refinement parameterization and pro-active model rebuilding, not only correcting errors but striving for optimal interpretation of the electron density. A web server for PDB_REDO has been implemented, allowing thorough, consistent and fully automated optimization of the refinement procedure in REFMAC and partial model rebuilding. The goal of the web server is to help practicing crystallo­graphers to improve their model prior to submission to the PDB. For this, additional steps were implemented in the PDB_REDO pipeline, both in the refinement procedure, e.g. testing of resolution limits and k-fold cross-validation for small test sets, and as new validation criteria, e.g. the density-fit metrics implemented in EDSTATS and ligand validation as implemented in YASARA. Innovative ways to present the refinement and validation results to the user are also described, which together with auto-generated Coot scripts can guide users to subsequent model inspection and improvement. It is demonstrated that using the server can lead to substantial improvement of structure models before they are submitted to the PDB. International Union of Crystallography 2014-05-30 /pmc/articles/PMC4107921/ /pubmed/25075342 http://dx.doi.org/10.1107/S2052252514009324 Text en © Robbie P. Joosten et al. 2014 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Letters
Joosten, Robbie P.
Long, Fei
Murshudov, Garib N.
Perrakis, Anastassis
The PDB_REDO server for macromolecular structure model optimization
title The PDB_REDO server for macromolecular structure model optimization
title_full The PDB_REDO server for macromolecular structure model optimization
title_fullStr The PDB_REDO server for macromolecular structure model optimization
title_full_unstemmed The PDB_REDO server for macromolecular structure model optimization
title_short The PDB_REDO server for macromolecular structure model optimization
title_sort pdb_redo server for macromolecular structure model optimization
topic Research Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107921/
https://www.ncbi.nlm.nih.gov/pubmed/25075342
http://dx.doi.org/10.1107/S2052252514009324
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