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ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules.
Loriot, Sébastien; Cazals, Frédéric; Bernauer, Julie.
Afiliação
  • Loriot S; ABS, INRIA Sophia Antipolis, 2004 route des Lucioles, 06902 Sophia-Antipolis, France.
Bioinformatics ; 26(8): 1127-8, 2010 Apr 15.
Article em En | MEDLINE | ID: mdl-20185407
UNLABELLED: 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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Bases de Dados de Proteínas Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2010 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Bases de Dados de Proteínas Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2010 Tipo de documento: Article País de afiliação: França