A Simulated Annealing Algorithm for Training Empirical Potential Functions of Protein Folding  

作　　者：WANGYu-hong LIWei 

机构地区：[1]DepartmentofMolecularBiology,dilinUniversity,Changchun130023,P.R.China

出　　处：《Chemical Research in Chinese Universities》2005年第1期73-77,共5页高等学校化学研究（英文版）

基　　金：Supported by the National Nataral Science Foundation of China(No.39980 0 0 5 )

摘　　要：In this paper are reported the local minimum problem by means of current greedy algorithm for training the empirical potential function of protein folding on 8623 non-native structures of 31 globular proteins and a solution of the problem based upon the simulated annealing algorithm. This simulated annealing algorithm is indispensable for developing and testing highly refined empirical potential functions.In this paper are reported the local minimum problem by means of current greedy algorithm for training the empirical potential function of protein folding on 8623 non-native structures of 31 globular proteins and a solution of the problem based upon the simulated annealing algorithm. This simulated annealing algorithm is indispensable for developing and testing highly refined empirical potential functions.

关 键 词：Empirical potential function of protein folding TRAINING Simulated annealing Greedy algorithm 

分 类 号：Q518.1[生物学—生物化学]