谷俊峰

个人信息Personal Information

副研究员

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:力学与航空航天学院

学科:工程力学. 计算力学. 制造工艺力学

办公地点:大连理工大学工程力学系503房间

电子邮箱:jfgu@dlut.edu.cn

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A Self-Adaptive Steered Molecular Dynamics Method Based on Minimization of Stretching Force Reveals the Binding Affinity of Protein-Ligand Complexes

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论文类型:期刊论文

发表时间:2015-10-01

发表刊物:MOLECULES

收录刊物:SCIE、PubMed、Scopus

卷号:20

期号:10

页面范围:19236-19251

ISSN号:1420-3049

关键字:binding affinity; steered molecular dynamics; rupture force; protein-ligand unbinding; optimization

摘要:Binding affinity prediction of protein-ligand complexes has attracted widespread interest. In this study, a self-adaptive steered molecular dynamics (SMD) method is proposed to reveal the binding affinity of protein-ligand complexes. The SMD method is executed through adjusting pulling direction to find an optimum trajectory of ligand dissociation, which is realized by minimizing the stretching force automatically. The SMD method is then used to simulate the dissociations of 19 common protein-ligand complexes which are derived from two homology families, and the binding free energy values are gained through experimental techniques. Results show that the proposed SMD method follows a different dissociation pathway with lower a rupture force and energy barrier when compared with the conventional SMD method, and further analysis indicates the rupture forces of the complexes in the same protein family correlate well with their binding free energy, which reveals the possibility of using the proposed SMD method to identify the active ligand.