A path planning approach for computing large-amplitude motions of flexible molecules
Author(s) -
Juan Cortés,
Thierry Siméon,
Vicente Ruiz de Angulo,
David Guieysse,
Magali RemaudSiméon,
V.H. Tran
Publication year - 2005
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/bti1017
Subject(s) - flexibility (engineering) , computer science , molecular dynamics , software , path (computing) , energy (signal processing) , algorithm , monte carlo method , motion (physics) , artificial intelligence , computational science , computational chemistry , physics , chemistry , mathematics , programming language , statistics , quantum mechanics
Motion is inherent in molecular interactions. Molecular flexibility must be taken into account in order to develop accurate computational techniques for predicting interactions. Energy-based methods currently used in molecular modeling (i.e. molecular dynamics, Monte Carlo algorithms) are, in practice, only able to compute local motions while accounting for molecular flexibility. However, large-amplitude motions often occur in biological processes. We investigate the application of geometric path planning algorithms to compute such large motions in flexible molecular models. Our purpose is to exploit the efficacy of a geometric conformational search as a filtering stage before subsequent energy refinements.
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