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OpenStructure: an integrated software framework for computational structural biology

Research projects in structural biology increasingly rely on combinations of heterogeneous sources of information, e.g. evolutionary information from multiple sequence alignments, experimental evidence in the form of density maps and proximity constraints from proteomics experiments. The OpenStructu...

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Detalles Bibliográficos
Autores principales: Biasini, M., Schmidt, T., Bienert, S., Mariani, V., Studer, G., Haas, J., Johner, N., Schenk, A. D., Philippsen, A., Schwede, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640466/
https://www.ncbi.nlm.nih.gov/pubmed/23633579
http://dx.doi.org/10.1107/S0907444913007051
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author Biasini, M.
Schmidt, T.
Bienert, S.
Mariani, V.
Studer, G.
Haas, J.
Johner, N.
Schenk, A. D.
Philippsen, A.
Schwede, T.
author_facet Biasini, M.
Schmidt, T.
Bienert, S.
Mariani, V.
Studer, G.
Haas, J.
Johner, N.
Schenk, A. D.
Philippsen, A.
Schwede, T.
author_sort Biasini, M.
collection PubMed
description Research projects in structural biology increasingly rely on combinations of heterogeneous sources of information, e.g. evolutionary information from multiple sequence alignments, experimental evidence in the form of density maps and proximity constraints from proteomics experiments. The OpenStructure software framework, which allows the seamless integration of information of different origin, has previously been introduced. The software consists of C++ libraries which are fully accessible from the Python programming language. Additionally, the framework provides a sophisticated graphics module that interactively displays molecular structures and density maps in three dimensions. In this work, the latest developments in the OpenStructure framework are outlined. The extensive capabilities of the framework will be illustrated using short code examples that show how information from molecular-structure coordinates can be combined with sequence data and/or density maps. The framework has been released under the LGPL version 3 license and is available for download from http://www.openstructure.org.
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spelling pubmed-36404662013-05-01 OpenStructure: an integrated software framework for computational structural biology Biasini, M. Schmidt, T. Bienert, S. Mariani, V. Studer, G. Haas, J. Johner, N. Schenk, A. D. Philippsen, A. Schwede, T. Acta Crystallogr D Biol Crystallogr Integrative Structural Biology Research projects in structural biology increasingly rely on combinations of heterogeneous sources of information, e.g. evolutionary information from multiple sequence alignments, experimental evidence in the form of density maps and proximity constraints from proteomics experiments. The OpenStructure software framework, which allows the seamless integration of information of different origin, has previously been introduced. The software consists of C++ libraries which are fully accessible from the Python programming language. Additionally, the framework provides a sophisticated graphics module that interactively displays molecular structures and density maps in three dimensions. In this work, the latest developments in the OpenStructure framework are outlined. The extensive capabilities of the framework will be illustrated using short code examples that show how information from molecular-structure coordinates can be combined with sequence data and/or density maps. The framework has been released under the LGPL version 3 license and is available for download from http://www.openstructure.org. International Union of Crystallography 2013-05-01 2013-04-19 /pmc/articles/PMC3640466/ /pubmed/23633579 http://dx.doi.org/10.1107/S0907444913007051 Text en © Biasini et al. 2013 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 Integrative Structural Biology
Biasini, M.
Schmidt, T.
Bienert, S.
Mariani, V.
Studer, G.
Haas, J.
Johner, N.
Schenk, A. D.
Philippsen, A.
Schwede, T.
OpenStructure: an integrated software framework for computational structural biology
title OpenStructure: an integrated software framework for computational structural biology
title_full OpenStructure: an integrated software framework for computational structural biology
title_fullStr OpenStructure: an integrated software framework for computational structural biology
title_full_unstemmed OpenStructure: an integrated software framework for computational structural biology
title_short OpenStructure: an integrated software framework for computational structural biology
title_sort openstructure: an integrated software framework for computational structural biology
topic Integrative Structural Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640466/
https://www.ncbi.nlm.nih.gov/pubmed/23633579
http://dx.doi.org/10.1107/S0907444913007051
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