Title :
Study of a highly accurate and fast protein-ligand docking based on molecular dynamics
Author :
Taufer, M. ; Crowley, M. ; Price, D. ; Chien, A.A. ; Brooks, C.L., III
Author_Institution :
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA
Abstract :
Summary form only given. Few methods use molecular dynamics simulations based on atomically detailed force fields to study the protein-ligand docking process because they are considered too time demanding despite their accuracy. We present a docking algorithm based on molecular dynamics simulations which has a highly flexible computational granularity. We compare the accuracy and the time required with well-known, commonly used docking methods like AutoDock, DOCK, FlexX, ICM, and GOLD. We show that our algorithm is accurate, fast and, because of its flexibility, applicable even to loosely coupled distributed systems like desktop grids for docking.
Keywords :
biology computing; grid computing; molecular biophysics; molecular dynamics method; molecular force constants; proteins; atomically detailed force field; computational granularity; desktop grid computing; loosely coupled distributed system; molecular dynamics; protein-ligand docking; Biological system modeling; Biology; Computational modeling; Computer science; Concurrent computing; Distributed computing; Gold; Grid computing; Physics; Protein engineering;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International
Print_ISBN :
0-7695-2132-0
DOI :
10.1109/IPDPS.2004.1303203