DocumentCode :
3525238
Title :
Flexible refinement of protein-ligand docking on manifolds
Author :
Mirzaei, Hanieh ; Villar, E. ; Mottarella, Scott ; Beglov, Dmitri ; Paschalidis, Ioannis C. ; Vajda, Szilard ; Kozakov, Dima ; Vakili, Pirooz
Author_Institution :
Div. of Syst. Eng., Boston Univ., Boston, MA, USA
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
1392
Lastpage :
1397
Abstract :
Our work is motivated by energy minimization of biological macromolecules, an essential step in computational docking. By allowing some ligand flexibility, we generalize a recently introduced novel representation of rigid body minimization as an optimization on the SO(3)×ℝ3 manifold, rather than on the commonly used Special Euclidean group SE(3). We show that the resulting flexible docking can also be formulated as an optimization on a Lie group that is the direct product of simpler Lie groups for which geodesics and exponential maps can be easily obtained. Our computational results for a local optimization algorithm developed based on this formulation show that it is about an order of magnitude faster than the state-of-the-art local minimization algorithms for computational protein-small molecule docking.
Keywords :
Lie groups; biology computing; differential geometry; macromolecules; minimisation; proteins; Lie group; biological macromolecules; computational docking; computational protein-small molecule docking; energy minimization; exponential maps; flexible refinement; geodesics; ligand flexibility; local minimization algorithm; local optimization algorithm; manifolds; protein-ligand docking; rigid body minimization; special Euclidean group; Educational institutions; Fasteners; Manifolds; Minimization; Optimization; Probes; Proteins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760077
Filename :
6760077
Link To Document :
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