pso@autodock: a fast flexible molecular docking program based on Swarm intelligence.
On the quest of novel therapeutics, molecular docking methods have proven to be valuable tools for screening large libraries of compounds determining the interactions of potential drugs with the target proteins. A widely used docking approach is the simulation of the docking process guided by a binding energy function. On the basis of the molecular docking program autodock, we present pso@autodock as a tool for fast flexible molecular docking. Our novel Particle Swarm Optimization (PSO) algorithms varCPSO and varCPSO-ls are suited for rapid docking of highly flexible ligands. Thus, a ligand with 23 rotatable bonds was successfully docked within as few as 100 000 computing steps (rmsd = 0.87 A), which corresponds to only 10% of the computing time demanded by autodock. In comparison to other docking techniques as gold 3.0, dock 6.0, flexx 2.2.0, autodock 3.05, and sodock, pso@autodock provides the smallest rmsd values for 12 in 37 protein-ligand complexes. The average rmsd value of 1.4 A is significantly lower then those obtained with the other docking programs, which are all above 2.0 A. Thus, pso@autodock is suggested as a highly efficient docking program in terms of speed and quality for flexible peptide-protein docking and virtual screening studies.
Namasivayam
Vigneshwaran
V
Faculty of Biosciences, Pharmacy and Psychology, Institute of Biochemistry, University of Leipzig, D-04103 Leipzig, Germany.
Günther
Robert
R
D000465:Algorithms; D015195:Drug Design; D008024:Ligands; D010455:Peptides / Q000737:chemistry; D011506:Proteins / Q000737:chemistry; D012984:Software
D008024:Ligands; D010455:Peptides; D011506:Proteins