A New Global Optimization Approach on Solving Macromolecular Structure Determination Problem

Author

Lu, Xin-Wei ; Zhang, Ke-Cun ; Sun, Hong-Xia

Author_Institution

Coll. of Sci., Xi´´an Jiaotong Univ., Xi´´an

fYear

2007

fDate

6-8 July 2007

Firstpage

157

Lastpage

161

Abstract

In this paper, we propose a new global optimization approach named parametrization auxiliary function approach on solving 2 types of macromolecular structure prediction problem: the potential energy problem and the distance geometry problem. Numerical tests show that the proposed method is both feasible and effective compared with the branch-and-bound method.

Keywords

biology computing; macromolecules; molecular biophysics; molecular configurations; optimisation; potential energy functions; proteins; branch-and-bound method; distance geometry problem; global optimization approach; macromolecular structure; parametrization auxiliary function approach; potential energy problem; Biological system modeling; Data analysis; Educational institutions; Geometry; Mathematical model; Potential energy; Production; Proteins; Solid modeling; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on

Conference_Location

Wuhan

Print_ISBN

1-4244-1120-3

Type

conf

DOI

10.1109/ICBBE.2007.44

Filename

4272528

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3047494