DocumentCode :
3047494
Title :
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 :
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