DocumentCode :
694802
Title :
A Steered Molecular Dynamics Method for Receptor-Ligand Unbinding Based on Genetic Algorithm
Author :
Junfeng Gu ; Xicheng Wang ; Yingying Yang
Author_Institution :
Dept. of Eng. Mech., Dalian Univ. of Technol., Dalian, China
fYear :
2013
fDate :
7-8 Dec. 2013
Firstpage :
698
Lastpage :
703
Abstract :
Steered molecular dynamics (SMD) method provides a new tool to investigate the structure-activity relationship, but its application is restricted severely when the real dissociation pathway is crooked. In this paper, a self-adaptive SMD method is designed for protein-ligand and protein-protein unbinding. During the unbinding process, the pulling direction varies automatically with a specified genetic algorithm to find the pathway which can be passed through with minimum force, so the rupture force of the unbinding process can be minimized and a rational dissociation pathway can be found the receptor-ligand complex. To evaluate the efficiency of the proposed method, several representative protein-ligand complexes and protein-protein complexes are simulated to pull the ligands away from the receptors. Compared with the conventional SMD, the new SMD scheme gains different dissociation pathways, and these new pathways generally have smaller rupture force and lower energy barrier.
Keywords :
biochemistry; bioinformatics; bonds (chemical); data mining; dissociation; genetic algorithms; minimisation; molecular biophysics; molecular dynamics method; proteins; reaction kinetics theory; self-adjusting systems; SMD application; automatic unbinding pulling direction variation; crooked dissociation pathway; dissociation pathway search; energy barrier; genetic algorithm; minimum force; protein-ligand complex simulation; protein-ligand unbinding; protein-protein complex simulation; protein-protein unbinding; receptor-ligand complex; receptor-ligand unbinding; self-adaptive SMD method; steered molecular dynamics method; structure-activity relationship; unbinding rupture force minimization; Dynamics; Force; Genetic algorithms; Optimization; Proteins; Sociology; Statistics; dissociation pathway; genetic algorithm; optimization; receptor-ligand; steered molecular dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
Conference_Location :
Guangzhou
Type :
conf
DOI :
10.1109/ISCC-C.2013.31
Filename :
6973673
Link To Document :
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