A. Dhanik, J. S. McMurray, and L. E. Kavraki, “AUTODOCK-based Incremental Docking Protocol to Improve Docking of Large Ligands,” in IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), Philadelphia, 2012, pp. 48–55.
It is well known that computer-aided docking of large ligands, with many rotatable bonds, is extremely difficult. AutoDock is a widely used docking program that can dock small ligands, with upto 5 or 6 rotatable bonds, accurately and quickly. Docking of larger ligands, however, is not very accurate and is computationally expensive. In this paper we present an AutoDock-based incremental docking protocol which docks a large ligand to its target protein in increments. A fragment of the large ligand is first chosen and then docked. Best docked conformations are incrementally grown and docked again, and this process is repeated until all the atoms of the ligand are docked. Each docking operation is performed using AutoDock. However, in each docking operation only a small number of rotatable bonds are allowed to rotate. We did a systematic docking study on a dataset of 73 protein-ligand complexes derived from the core set of PDBbind database. The number of rotatable bonds in the ligands vary from 7 to 30. Docking experiments were done to evaluate the docking performance of the incremental protocol in comparison to AutoDock’s standard protocol. Results from the study show that, on average over the dataset, docking of large ligands using our incremental protocol is 23-fold computationally faster than docking using AutoDock’s standard protocol and also has comparable or better accuracy. We propose that, for docking large ligands, our incremental protocol can be used as an alternative to AutoDock’s standard protocol.