Journal Article

ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules

Sébastien Loriot, Frédéric Cazals and Julie Bernauer

in Bioinformatics

Volume 26, issue 8, pages 1127-1128
Published in print April 2010 | ISSN: 1367-4803
Published online February 2010 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btq083
ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules

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Summary: The ever increasing number of structural biological data calls for robust and efficient software for analysis. Easy Structural Biology Template Library (ESBTL) is a lightweight C++ library that allows the handling of PDB data and provides a data structure suitable for geometric constructions and analyses. The parser and data model provided by this ready-to-use include-only library allows adequate treatment of usually discarded information (insertion code, atom occupancy, etc.) while still being able to detect badly formatted files. The template-based structure allows rapid design of new computational structural biology applications and is fully compatible with the new remediated PDB archive format. It also allows the code to be easy-to-use while being versatile enough to allow advanced user developments.

Availability: ESBTL is freely available under the GNU General Public License from http://esbtl.sf.net. The web site provides the source code, examples, code snippets and documentation.

Contact: julie.bernauer@inria.fr

Journal Article.  1287 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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