OpenStructure: a Flexible Software Framework for Computational Structural Biology

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2010 Aug 25

PMID 20733063

Citations 23

Authors

Marco Biasini

Valerio Mariani

Jurgen Haas

Stefan Scheuber

Andreas D Schenk

Torsten Schwede

Ansgar Philippsen

Affiliations

Soon will be listed here.

Abstract

Motivation: Developers of new methods in computational structural biology are often hampered in their research by incompatible software tools and non-standardized data formats. To address this problem, we have developed OpenStructure as a modular open source platform to provide a powerful, yet flexible general working environment for structural bioinformatics. OpenStructure consists primarily of a set of libraries written in C++ with a cleanly designed application programmer interface. All functionality can be accessed directly in C++ or in a Python layer, meeting both the requirements for high efficiency and ease of use. Powerful selection queries and the notion of entity views to represent these selections greatly facilitate the development and implementation of algorithms on structural data. The modular integration of computational core methods with powerful visualization tools makes OpenStructure an ideal working and development environment. Several applications, such as the latest versions of IPLT and QMean, have been implemented based on OpenStructure-demonstrating its value for the development of next-generation structural biology algorithms.

Availability: Source code licensed under the GNU lesser general public license and binaries for MacOS X, Linux and Windows are available for download at http://www.openstructure.org.

Contact: torsten.schwede@unibas.ch

Supplementary Information: Supplementary data are available at Bioinformatics online.

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