title: ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules.
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.
  
  
  BACKGROUND
  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.
authors.affiliation: ABS, INRIA Sophia Antipolis, 2004 route des Lucioles, 06902 Sophia-Antipolis, France.
authors.forename: Sébastien
authors.initials: S
authors.lastname: Loriot
authors.forename: Frédéric
authors.initials: F
authors.lastname: Cazals
authors.forename: Julie
authors.initials: J
authors.lastname: Bernauer
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D011506:Proteins / Q000737:chemistry; D012984:Software
chemical_list: D011506:Proteins