| Literature DB >> 24830567 |
Hanieh Mirzaei1, Elizabeth Villar2, Scott Mottarella3, Dmitri Beglov4, Ioannis Ch Paschalidis5, Sandor Vajda4, Dima Kozakov4, Pirooz Vakili1.
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 [Formula: see text] 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.Entities:
Year: 2013 PMID: 24830567 PMCID: PMC4019453 DOI: 10.1109/CDC.2013.6760077
Source DB: PubMed Journal: Proc IEEE Conf Decis Control ISSN: 0743-1546