Abstract
Molecular docking is a simulation process where the binding of a small molecule is identified in the structure of a protein target. There are several different computational approaches to solve this problem. Here it is described recent developments in application of evolutionary algorithms to molecular docking simulations. Evolutionary algorithms are classified as a group of computational techniques based on the concepts of Darwins theory of evolution that are designed to find the best possible solution to optimization problems. A successfully implementation of this algorithm can be found in the program MolDock. The main features of MolDock are reviewed here. We also describe application of MolDock to purine nucleoside phosphorylase, shikimate kinase and cyclin-dependent kinase 2.
Keywords: Evolutionary algorithms, molecular docking, structure-based virtual screening, protein-ligand, docking, CDK2, shikimate kinase, PNP
Current Drug Targets
Title: MolDock Applied to Structure-Based Virtual Screening
Volume: 11 Issue: 3
Author(s): Walter Filgueira De Azevedo Jr.
Affiliation:
Keywords: Evolutionary algorithms, molecular docking, structure-based virtual screening, protein-ligand, docking, CDK2, shikimate kinase, PNP
Abstract: Molecular docking is a simulation process where the binding of a small molecule is identified in the structure of a protein target. There are several different computational approaches to solve this problem. Here it is described recent developments in application of evolutionary algorithms to molecular docking simulations. Evolutionary algorithms are classified as a group of computational techniques based on the concepts of Darwins theory of evolution that are designed to find the best possible solution to optimization problems. A successfully implementation of this algorithm can be found in the program MolDock. The main features of MolDock are reviewed here. We also describe application of MolDock to purine nucleoside phosphorylase, shikimate kinase and cyclin-dependent kinase 2.
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Cite this article as:
De Azevedo Jr. Filgueira Walter, MolDock Applied to Structure-Based Virtual Screening, Current Drug Targets 2010; 11 (3) . https://dx.doi.org/10.2174/138945010790711941
DOI https://dx.doi.org/10.2174/138945010790711941 |
Print ISSN 1389-4501 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-5592 |
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