jMetalCpp: optimizing molecular docking problems with a C++ metaheuristic framework
Author(s) -
Esteban López-Camacho,
María Jesús García-Godoy,
Antonio J. Nebro,
José F. AldanaMontes
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt679
Subject(s) - autodock , metaheuristic , computer science , docking (animal) , software , protein–ligand docking , artificial intelligence , chemistry , molecular dynamics , programming language , virtual screening , in silico , computational chemistry , medicine , biochemistry , nursing , gene
Molecular docking is a method for structure-based drug design and structural molecular biology, which attempts to predict the position and orientation of a small molecule (ligand) in relation to a protein (receptor) to produce a stable complex with a minimum binding energy. One of the most widely used software packages for this purpose is AutoDock, which incorporates three metaheuristic techniques. We propose the integration of AutoDock with jMetalCpp, an optimization framework, thereby providing both single- and multi-objective algorithms that can be used to effectively solve docking problems.
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