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

作　　者：郑伟谋 

机构地区：[1]Institute of Theoretical Physics, Chinese Academy of Sciences

出　　处：《Chinese Physics B》2015年第12期22-27,共6页中国物理B（英文版）

基　　金：Project supported in part by the National Natural Science Foundation of China(Grant Nos.11175224 and 11121403)

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.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 

分 类 号：Q811.4[生物学—生物工程] O4-09[理学—物理]