## Abstract Protein–ligand docking techniques are one of the essential tools for structure‐based drug design. Two major components of a successful docking program are an efficient search method and an accurate scoring function. In this work, a new docking method called LigDockCSA is developed by us
An efficient molecular docking using conformational space annealing
✍ Scribed by Kyoungrim Lee; Cezary Czaplewski; Seung-Yeon Kim; Jooyoung Lee
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 159 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0192-8651
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Molecular docking falls into the general category of global optimization problems because its main purpose is to find the most stable complex consisting of a receptor and its ligand. Conformational space annealing (CSA), a powerful global optimization method, is incorporated with the Tinker molecular modeling package to perform molecular docking simulations of six receptor–ligand complexes (3PTB, 1ULB, 2CPP, 1STP, 3CPA, and 1PPH) from the Protein Data Bank. In parallel, Monte Carlo with the minimization (MCM) method is also incorporated into the Tinker package for comparison. The energy function, consisting of electrostatic interactions, van der Waals interactions, and torsional energy terms, is calculated using the AMBER94 all‐atom empirical force field. Rigid docking simulations for all six complexes and flexible docking simulations for three complexes (1STP, 3CPA, and 1PPH) are carried out using the CSA and the MCM methods. The simulation results show that the docking procedures using the CSA method generally find the most stable complexes as well as the native‐like complexes more efficiently and accurately than those using the MCM, demonstrating that CSA is a promising search method for molecular docking problems. © 2004 Wiley Periodicals, Inc. J Comput Chem 26: 78–87, 2005
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