Parallel multi-objective algorithms for the molecular docking problem

— Molecular 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 multiobjective 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.

• Type: Conference
• Year: 2008
• Where: CIBCB
• Authors: Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Dragos Horvath
• Keywords: Biology, CIBCB 2008, Molecular Docking, Multi-objective Genetic Algorithms, Surface Term