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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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M. Biasini
Florida State University
Tobias Schmidt
Lund University
Stefan Bienert
SIB Swiss Institute of Bioinformatics
Acta Crystallographica Section D Biological Crystallography
Harvard University
Cornell University
University of Basel
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Biasini et al. (Thu,) studied this question.
synapsesocial.com/papers/69d8aae1a5ecc596b5d18293 — DOI: https://doi.org/10.1107/s0907444913007051
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