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Toward the estimation of the absolute quality of individual protein structure models

Motivation: Quality assessment of protein structures is an important part of experimental structure validation and plays a crucial role in protein structure prediction, where the predicted models may contain substantial errors. Most current scoring functions are primarily designed to rank alternativ...

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Detalles Bibliográficos
Autores principales: Benkert, Pascal, Biasini, Marco, Schwede, Torsten
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3031035/
https://www.ncbi.nlm.nih.gov/pubmed/21134891
http://dx.doi.org/10.1093/bioinformatics/btq662
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author Benkert, Pascal
Biasini, Marco
Schwede, Torsten
author_facet Benkert, Pascal
Biasini, Marco
Schwede, Torsten
author_sort Benkert, Pascal
collection PubMed
description Motivation: Quality assessment of protein structures is an important part of experimental structure validation and plays a crucial role in protein structure prediction, where the predicted models may contain substantial errors. Most current scoring functions are primarily designed to rank alternative models of the same sequence supporting model selection, whereas the prediction of the absolute quality of an individual protein model has received little attention in the field. However, reliable absolute quality estimates are crucial to assess the suitability of a model for specific biomedical applications. Results: In this work, we present a new absolute measure for the quality of protein models, which provides an estimate of the ‘degree of nativeness’ of the structural features observed in a model and describes the likelihood that a given model is of comparable quality to experimental structures. Model quality estimates based on the QMEAN scoring function were normalized with respect to the number of interactions. The resulting scoring function is independent of the size of the protein and may therefore be used to assess both monomers and entire oligomeric assemblies. Model quality scores for individual models are then expressed as ‘Z-scores’ in comparison to scores obtained for high-resolution crystal structures. We demonstrate the ability of the newly introduced QMEAN Z-score to detect experimentally solved protein structures containing significant errors, as well as to evaluate theoretical protein models. In a comprehensive QMEAN Z-score analysis of all experimental structures in the PDB, membrane proteins accumulate on one side of the score spectrum and thermostable proteins on the other. Proteins from the thermophilic organism Thermatoga maritima received significantly higher QMEAN Z-scores in a pairwise comparison with their homologous mesophilic counterparts, underlining the significance of the QMEAN Z-score as an estimate of protein stability. Availability: The Z-score calculation has been integrated in the QMEAN server available at: http://swissmodel.expasy.org/qmean. Contact: torsten.schwede@unibas.ch Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-30310352011-02-02 Toward the estimation of the absolute quality of individual protein structure models Benkert, Pascal Biasini, Marco Schwede, Torsten Bioinformatics Original Papers Motivation: Quality assessment of protein structures is an important part of experimental structure validation and plays a crucial role in protein structure prediction, where the predicted models may contain substantial errors. Most current scoring functions are primarily designed to rank alternative models of the same sequence supporting model selection, whereas the prediction of the absolute quality of an individual protein model has received little attention in the field. However, reliable absolute quality estimates are crucial to assess the suitability of a model for specific biomedical applications. Results: In this work, we present a new absolute measure for the quality of protein models, which provides an estimate of the ‘degree of nativeness’ of the structural features observed in a model and describes the likelihood that a given model is of comparable quality to experimental structures. Model quality estimates based on the QMEAN scoring function were normalized with respect to the number of interactions. The resulting scoring function is independent of the size of the protein and may therefore be used to assess both monomers and entire oligomeric assemblies. Model quality scores for individual models are then expressed as ‘Z-scores’ in comparison to scores obtained for high-resolution crystal structures. We demonstrate the ability of the newly introduced QMEAN Z-score to detect experimentally solved protein structures containing significant errors, as well as to evaluate theoretical protein models. In a comprehensive QMEAN Z-score analysis of all experimental structures in the PDB, membrane proteins accumulate on one side of the score spectrum and thermostable proteins on the other. Proteins from the thermophilic organism Thermatoga maritima received significantly higher QMEAN Z-scores in a pairwise comparison with their homologous mesophilic counterparts, underlining the significance of the QMEAN Z-score as an estimate of protein stability. Availability: The Z-score calculation has been integrated in the QMEAN server available at: http://swissmodel.expasy.org/qmean. Contact: torsten.schwede@unibas.ch Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2011-02-01 2010-12-05 /pmc/articles/PMC3031035/ /pubmed/21134891 http://dx.doi.org/10.1093/bioinformatics/btq662 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Benkert, Pascal
Biasini, Marco
Schwede, Torsten
Toward the estimation of the absolute quality of individual protein structure models
title Toward the estimation of the absolute quality of individual protein structure models
title_full Toward the estimation of the absolute quality of individual protein structure models
title_fullStr Toward the estimation of the absolute quality of individual protein structure models
title_full_unstemmed Toward the estimation of the absolute quality of individual protein structure models
title_short Toward the estimation of the absolute quality of individual protein structure models
title_sort toward the estimation of the absolute quality of individual protein structure models
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3031035/
https://www.ncbi.nlm.nih.gov/pubmed/21134891
http://dx.doi.org/10.1093/bioinformatics/btq662
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