Khodade, Prashant and Prabhu, A and Chandra, Nagasuma and Raha, Soumyendu and Govindarajan, R (2007) Parallel implementation of AutoDock. In: Journal of Applied Crystallography, 40 (3). pp. 598-599.
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Computational docking of ligands to protein structures is a key step in structure-based drug design. Currently, the time required for each docking run is high and thus limits the use of docking in a high-throughput manner, warranting parallelization of docking algorithms. AutoDock, a widely used tool, has been chosen for parallelization. Near-linear increases in speed were observed with 96 processors, reducing the time required for docking ligands to HIV-protease from 81 min, as an example, on a single IBM Power-5 processor ( 1.65 GHz), to about 1 min on an IBM cluster, with 96 such processors. This implementation would make it feasible to perform virtual ligand screening using AutoDock.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to International Union of Crystallography.|
|Department/Centre:||Division of Information Sciences > Supercomputer Education & Research Centre
Division of Information Sciences > BioInformatics Centre
|Date Deposited:||10 Jun 2010 06:08|
|Last Modified:||19 Sep 2010 05:59|
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