Multi-Objective Optimization Algorithms to Solve Molecular Docking
published by Aِl-Baath University
in 2016
in
and research's language is
العربية
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Abstract in English
Molecular docking is a hard optimization problem that has been
tackled in the past, demonstrating new and challenging results when
looking for one objective . However, only a few papers can be
found in the literature that deal with this problem by means of a
multi-objective approach, and no experimental comparisons have
been made in order to clarify which of them has the best overall
performance. In this research, we use and compare, a set of
representative multi-objective optimization algorithms. The
approach followed is focused on optimizing the inter-molecular and
intra-molecular energies as two main objectives to minimize.
References used
Goodsell- D.S., Morris- G.M, 1998- Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function- pp.1639–166
Roy- R, Oduguwa- A., Tiwari- A, 2006- Multi-objective optimisation of the protein-ligand docking problem in drug discovery- Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation- Seattle- USA- pp. 1793–1800
Grosdidier- A., Zoete- V.- Michielin- O, 2007- EADock: Docking of small molecules into protein active sites with a multi-objective evolutionary optimization- pp. 1010–1025