Prediction of oligopeptide conformations via deterministic global optimization

被引:65
作者
Androulakis, IP
Maranas, CD
Floudas, CA
机构
[1] EXXON RES & ENGN CO,CORP RES SCI LABS,ANNANDALE,NJ 08801
[2] PRINCETON UNIV,DEPT CHEM ENGN,PRINCETON,NJ 08544
[3] PENN STATE UNIV,DEPT CHEM ENGN,FENSKE LAB 158,UNIVERSITY PK,PA 16802
关键词
protein folding; deterministic global optimization;
D O I
10.1023/A:1008224308626
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
A deterministic global optimization method is described for identifying the global minimum potential energy conformation of oligopeptides. The ECEPP/3 detailed potential energy model is utilized for describing the energetics of the atomic interactions posed in the space of the peptide dihedral angles. Based on previous work on the microcluster and molecular structure determination [21, 22, 23, 24], a procedure for deriving convex lower bounding functions for the total potential energy function is developed. A procedure that allows the exclusion of domains of the (phi, psi) space based on the analysis of experimentally determined native protein structures is presented. The reduced disjoint sub-domains are appropriately combined thus defining the starting regions for the search. The proposed approach provides valuable information on (i) the global minimum potential energy conformation, (ii) upper and lower bounds of the global minimum energy structure and (iii) low energy conformers dose to the global minimum one. The proposed approach is illustrated with Ac-Ala(4)-Pro-NHMe, Met-enkephalin, Leu-enkephalin, and Decaglycine.
引用
收藏
页码:1 / 34
页数:34
相关论文
共 49 条