ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 20185407.
- Also identified by DOI 10.1093/bioinformatics/btq083.
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Abstract
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. 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.
Medical subject headings
- Computational Biology
- Databases, Protein
- Software