Computer simulation of molecular recognition in biomolecular system: from in silico screening to generalized ensembles

被引:0
|
作者
Yoshifumi Fukunishi
Junichi Higo
Kota Kasahara
机构
[1] National Institute of Advanced Industrial Science and Technology (AIST),Cellular and Molecular Biotechnology Research Institute
[2] University of Hyogo,Graduate School of Information Science
[3] Research Organization of Science and Technology,College of Life Sciences
[4] Ritsumeikan University,undefined
[5] Ritsumeikan University,undefined
来源
Biophysical Reviews | 2022年 / 14卷
关键词
Free-energy landscape; Energy basin; Molecular binding; Conformation sampling; Thermodynamic integration; Weighted ensemble analysis method; Enhanced sampling; Drug discovery;
D O I
暂无
中图分类号
学科分类号
摘要
Prediction of ligand-receptor complex structure is important in both the basic science and the industry such as drug discovery. We report various computation molecular docking methods: fundamental in silico (virtual) screening, ensemble docking, enhanced sampling (generalized ensemble) methods, and other methods to improve the accuracy of the complex structure. We explain not only the merits of these methods but also their limits of application and discuss some interaction terms which are not considered in the in silico methods. In silico screening and ensemble docking are useful when one focuses on obtaining the native complex structure (the most thermodynamically stable complex). Generalized ensemble method provides a free-energy landscape, which shows the distribution of the most stable complex structure and semi-stable ones in a conformational space. Also, barriers separating those stable structures are identified. A researcher should select one of the methods according to the research aim and depending on complexity of the molecular system to be studied.
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页码:1423 / 1447
页数:24
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