Cargando…

MolProbity: all-atom structure validation for macromolecular crystallography

MolProbity is a structure-validation web service that provides broad-spectrum solidly based evaluation of model quality at both the global and local levels for both proteins and nucleic acids. It relies heavily on the power and sensitivity provided by optimized hydrogen placement and all-atom contac...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Vincent B., Arendall, W. Bryan, Headd, Jeffrey J., Keedy, Daniel A., Immormino, Robert M., Kapral, Gary J., Murray, Laura W., Richardson, Jane S., Richardson, David C.
Formato: Texto
Lenguaje:English
Publicado: International Union of Crystallography 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2803126/
https://www.ncbi.nlm.nih.gov/pubmed/20057044
http://dx.doi.org/10.1107/S0907444909042073
_version_ 1782176018803458048
author Chen, Vincent B.
Arendall, W. Bryan
Headd, Jeffrey J.
Keedy, Daniel A.
Immormino, Robert M.
Kapral, Gary J.
Murray, Laura W.
Richardson, Jane S.
Richardson, David C.
author_facet Chen, Vincent B.
Arendall, W. Bryan
Headd, Jeffrey J.
Keedy, Daniel A.
Immormino, Robert M.
Kapral, Gary J.
Murray, Laura W.
Richardson, Jane S.
Richardson, David C.
author_sort Chen, Vincent B.
collection PubMed
description MolProbity is a structure-validation web service that provides broad-spectrum solidly based evaluation of model quality at both the global and local levels for both proteins and nucleic acids. It relies heavily on the power and sensitivity provided by optimized hydrogen placement and all-atom contact analysis, complemented by updated versions of covalent-geometry and torsion-angle criteria. Some of the local corrections can be performed automatically in MolProbity and all of the diagnostics are presented in chart and graphical forms that help guide manual rebuilding. X-ray crystallography provides a wealth of biologically important molecular data in the form of atomic three-dimensional structures of proteins, nucleic acids and increasingly large complexes in multiple forms and states. Advances in automation, in everything from crystallization to data collection to phasing to model building to refinement, have made solving a structure using crystallo­graphy easier than ever. However, despite these improvements, local errors that can affect biological interpretation are widespread at low resolution and even high-resolution structures nearly all contain at least a few local errors such as Ramachandran outliers, flipped branched protein side chains and incorrect sugar puckers. It is critical both for the crystallographer and for the end user that there are easy and reliable methods to diagnose and correct these sorts of errors in structures. MolProbity is the authors’ contribution to helping solve this problem and this article reviews its general capabilities, reports on recent enhancements and usage, and presents evidence that the resulting improvements are now beneficially affecting the global database.
format Text
id pubmed-2803126
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher International Union of Crystallography
record_format MEDLINE/PubMed
spelling pubmed-28031262010-01-08 MolProbity: all-atom structure validation for macromolecular crystallography Chen, Vincent B. Arendall, W. Bryan Headd, Jeffrey J. Keedy, Daniel A. Immormino, Robert M. Kapral, Gary J. Murray, Laura W. Richardson, Jane S. Richardson, David C. Acta Crystallogr D Biol Crystallogr Research Papers MolProbity is a structure-validation web service that provides broad-spectrum solidly based evaluation of model quality at both the global and local levels for both proteins and nucleic acids. It relies heavily on the power and sensitivity provided by optimized hydrogen placement and all-atom contact analysis, complemented by updated versions of covalent-geometry and torsion-angle criteria. Some of the local corrections can be performed automatically in MolProbity and all of the diagnostics are presented in chart and graphical forms that help guide manual rebuilding. X-ray crystallography provides a wealth of biologically important molecular data in the form of atomic three-dimensional structures of proteins, nucleic acids and increasingly large complexes in multiple forms and states. Advances in automation, in everything from crystallization to data collection to phasing to model building to refinement, have made solving a structure using crystallo­graphy easier than ever. However, despite these improvements, local errors that can affect biological interpretation are widespread at low resolution and even high-resolution structures nearly all contain at least a few local errors such as Ramachandran outliers, flipped branched protein side chains and incorrect sugar puckers. It is critical both for the crystallographer and for the end user that there are easy and reliable methods to diagnose and correct these sorts of errors in structures. MolProbity is the authors’ contribution to helping solve this problem and this article reviews its general capabilities, reports on recent enhancements and usage, and presents evidence that the resulting improvements are now beneficially affecting the global database. International Union of Crystallography 2010-01-01 2009-12-21 /pmc/articles/PMC2803126/ /pubmed/20057044 http://dx.doi.org/10.1107/S0907444909042073 Text en © Chen et al. 2010 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 Papers
Chen, Vincent B.
Arendall, W. Bryan
Headd, Jeffrey J.
Keedy, Daniel A.
Immormino, Robert M.
Kapral, Gary J.
Murray, Laura W.
Richardson, Jane S.
Richardson, David C.
MolProbity: all-atom structure validation for macromolecular crystallography
title MolProbity: all-atom structure validation for macromolecular crystallography
title_full MolProbity: all-atom structure validation for macromolecular crystallography
title_fullStr MolProbity: all-atom structure validation for macromolecular crystallography
title_full_unstemmed MolProbity: all-atom structure validation for macromolecular crystallography
title_short MolProbity: all-atom structure validation for macromolecular crystallography
title_sort molprobity: all-atom structure validation for macromolecular crystallography
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2803126/
https://www.ncbi.nlm.nih.gov/pubmed/20057044
http://dx.doi.org/10.1107/S0907444909042073
work_keys_str_mv AT chenvincentb molprobityallatomstructurevalidationformacromolecularcrystallography
AT arendallwbryan molprobityallatomstructurevalidationformacromolecularcrystallography
AT headdjeffreyj molprobityallatomstructurevalidationformacromolecularcrystallography
AT keedydaniela molprobityallatomstructurevalidationformacromolecularcrystallography
AT immorminorobertm molprobityallatomstructurevalidationformacromolecularcrystallography
AT kapralgaryj molprobityallatomstructurevalidationformacromolecularcrystallography
AT murraylauraw molprobityallatomstructurevalidationformacromolecularcrystallography
AT richardsonjanes molprobityallatomstructurevalidationformacromolecularcrystallography
AT richardsondavidc molprobityallatomstructurevalidationformacromolecularcrystallography