Chemical Research in Chinese Universities ›› 2006, Vol. 22 ›› Issue (2): 248-250.

• Articles • Previous Articles     Next Articles

A Global Minimization Algorithm for Empirical Contact Potential Functions

WANG Yu-hong, LI Wei   

  1. Department of Molecular Biology, College of Life Sciences, Jilin University, Changchun 130021, P.R.China
  • Received:2005-12-20 Online:2006-04-24 Published:2011-08-06
  • Supported by:

    Supported by the National Natural Science Foundation of China(No.39980005).

Abstract: Global minimization algorithm is indispensable for solving protein folding problems based on thermodynamic hypothesis.A contact difference (CD) based on pseudo potential function, for simulating empirical contact potential functions and testing global minimization algorithm was proposed.The present article describes a conformational sampling and global minimization algorithm, which is called WL, based on Monte Carlo simulation and simulated annealing.Itcan be used to locate CD's globe minimum and refold extended protein structures, as small as 0.03 nm, from the native structures, back to ones with root mean square distance(RMSD).These results demonstrate that the global minimization problems for empirical contact potential functions may be solvable.

Key words: Global minimization, Contact potential function, Simulated annealing, Monte Carlo simulation, Global minimization, Contact potential function, Simulated annealing, Monte Carlo simulation