Efficient sampling of ligand orientations and conformations in free energy calculations using the λ-dynamics method

被引:34
|
作者
Banba, S [1 ]
Guo, ZY [1 ]
Brooks, CL [1 ]
机构
[1] Scripps Res Inst, Dept Mol Biol, La Jolla, CA 92037 USA
来源
JOURNAL OF PHYSICAL CHEMISTRY B | 2000年 / 104卷 / 29期
关键词
D O I
10.1021/jp001177i
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The recently developed lambda-dynamics free-energy based simulation method was used to study the binding of 10 five-member ring heterocycle derivatives to an artificial cavity created by mutagenesis inside cytochrome c peroxidase. Application of lambda-dynamics to this system gives a reasonable estimate of the binding affinity of the ligands. This methodology also provides a means to explore the binding orientations and conformations of the ligands inside the binding pocket much better than does conventional MD. This is due to the scaling of forces inherent in the it-dynamics method, which lowers the barriers separating different binding modes and conformations. Examination of the lambda-dynamics trajectory of the ligands revealed alternative binding orientations and conformations not detected by crystallography. Furthermore, a lambda-dynamics simulation starting from random initial orientations, in which some li,ligands take significantly different orientations as compared with those from the X-ray structure, successfully samples the X-ray crystallographic orientations in all ligands. Ligand sampling by conventional MD starting from same initial structures remains trapped in the local minima from which they start. Such efficient sampling of ligand orientations and conformations is expected to diminish the limitation that an initial ligand structure must be close to its true bound orientation in order to yield a reasonable estimate of the binding free energy.
引用
收藏
页码:6903 / 6910
页数:8
相关论文
共 50 条
  • [31] Automated, Accurate, and Scalable Relative Protein-Ligand Binding Free-Energy Calculations Using Lambda Dynamics
    Raman, E. Prabhu
    Paul, Thomas J.
    Hayes, Ryan L.
    Brooks, Charles L., III
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2020, 16 (12) : 7895 - 7914
  • [32] Assessing the ligand selectivity of sphingosine kinases using molecular dynamics and MM-PBSA binding free energy calculations
    Fang, Liang
    Wang, Xiaojian
    Xi, Meiyang
    Liu, Tianqi
    Yin, Dali
    MOLECULAR BIOSYSTEMS, 2016, 12 (04) : 1174 - 1182
  • [33] Extension to the weighted histogram analysis method: combining umbrella sampling with free energy calculations
    Souaille, M
    Roux, B
    COMPUTER PHYSICS COMMUNICATIONS, 2001, 135 (01) : 40 - 57
  • [34] Method for free-energy calculations using iterative techniques
    Kumar, S
    Payne, PW
    Vasquez, M
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 1996, 17 (10) : 1269 - 1275
  • [35] A method for free-energy calculations using iterative techniques
    Kumar, S
    Payne, PW
    Vasquez, M
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1996, 211 : 9 - COMP
  • [36] Improving the LIE Method for Binding Free Energy Calculations of Protein-Ligand Complexes
    Miranda, Williams E.
    Noskov, Sergei Yu.
    Valiente, Pedro A.
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2015, 55 (09) : 1867 - 1877
  • [37] Variational approach to enhanced sampling and free energy calculations
    Parrinello, Michele
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [38] Variational Approach to Enhanced Sampling and Free Energy Calculations
    Valsson, Omar
    Parrinello, Michele
    PHYSICAL REVIEW LETTERS, 2014, 113 (09)
  • [39] Enhanced sampling, free energy calculations, and drug discovery
    Wang, Lingle
    Harder, Ed
    Abel, Robert
    Wu, Yujie
    Deng, Yuqing
    Kaus, Joe
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2019, 257
  • [40] Enhanced sampling and free energy calculations for protein simulations
    Liao, Qinghua
    COMPUTATIONAL APPROACHES FOR UNDERSTANDING DYNAMICAL SYSTEMS: PROTEIN FOLDING AND ASSEMBLY, 2020, 170 : 177 - 213