Knowledge-based potentials in bioinformatics: From a physicist's viewpoint

doi:10.1088/1674-1056/24/12/128701

中国物理B ›› 2015, Vol. 24 ›› Issue (12): 128701-128701.doi: 10.1088/1674-1056/24/12/128701

所属专题： TOPICAL REVIEW — 8th IUPAP International Conference on Biological Physics

• TOPICAL REVIEW—8th IUPAP International Conference on Biological Physics • 上一篇下一篇

Knowledge-based potentials in bioinformatics: From a physicist's viewpoint

郑伟谋

Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China

收稿日期:2015-04-29 修回日期:2015-06-14 出版日期:2015-12-05 发布日期:2015-12-05
通讯作者: Zheng Wei-Mou E-mail:zheng@itp.ac.cn
基金资助:
Project supported in part by the National Natural Science Foundation of China (Grant Nos. 11175224 and 11121403).

Knowledge-based potentials in bioinformatics: From a physicist's viewpoint

Zheng Wei-Mou (郑伟谋)

Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China

Received:2015-04-29 Revised:2015-06-14 Online:2015-12-05 Published:2015-12-05
Contact: Zheng Wei-Mou E-mail:zheng@itp.ac.cn
Supported by:
Project supported in part by the National Natural Science Foundation of China (Grant Nos. 11175224 and 11121403).

摘要/Abstract

摘要：

Biological raw data are growing exponentially, providing a large amount of information on what life is. It is believed that potential functions and the rules governing protein behaviors can be revealed from analysis on known native structures of proteins. Many knowledge-based potentials for proteins have been proposed. Contrary to most existing review articles which mainly describe technical details and applications of various potential models, the main foci for the discussion here are ideas and concepts involving the construction of potentials, including the relation between free energy and energy, the additivity of potentials of mean force and some key issues in potential construction. Sequence analysis is briefly viewed from an energetic viewpoint.

关键词: Knowledge-based potentials for proteins, protein native structures, sequence signals

Abstract:

Key words: Knowledge-based potentials for proteins, protein native structures, sequence signals

中图分类号: (General theory and mathematical aspects)

87.10.-e

02.50.-r (Probability theory, stochastic processes, and statistics)

郑伟谋. Knowledge-based potentials in bioinformatics: From a physicist's viewpoint[J]. 中国物理B, 2015, 24(12): 128701-128701.

Zheng Wei-Mou (郑伟谋). Knowledge-based potentials in bioinformatics: From a physicist's viewpoint[J]. Chin. Phys. B, 2015, 24(12): 128701-128701.

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Knowledge-based potentials in bioinformatics: From a physicist's viewpoint

Knowledge-based potentials in bioinformatics: From a physicist's viewpoint

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