Parallel multi-objective algorithms for the molecular docking problem

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dc.creatorBoisson, Jean-Charles
dc.creatorJourdan, Laetitia
dc.creatorTalbi, El-Ghazali
dc.creatorHorvath, Dragos
dc.date2008-11-04
dc.date.accessioned2026-07-07T10:15:25Z
dc.date.available2026-07-07T10:15:25Z
dc.descriptionMolecular docking is an essential tool for drug design. It helps the scientist to rapidly know if two molecules, respectively called ligand and receptor, can be combined together to obtain a stable complex. We propose a new multi-objective model combining an energy term and a surface term to gain such complexes. The aim of our model is to provide complexes with a low energy and low surface. This model has been validated with two multi-objective genetic algorithms on instances from the literature dedicated to the docking benchmarking.
dc.descriptionComputational Intelligence in Bioinformatics and Bioengineering (CIBCB08) (2008)
dc.identifierhttps://arxiv.org/abs/0811.0514
dc.identifierhttp://arxiv.org/abs/0811.0514
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/173165
dc.subjectQuantitative Methods
dc.titleParallel multi-objective algorithms for the molecular docking problem
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