DocumentCode
2893223
Title
An Improved Parallel Simulated Annealing Algorithm Used for Protein Structure Prediction
Author
Liu, Yun-ling ; Tao, Lan
Author_Institution
Fac. of Inf. & Electr. Eng., China Agric. Univ., Beijing
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
2335
Lastpage
2338
Abstract
This paper introduces an improved simulated annealing - parallel simulated annealing with genetic crossover: PSAGC, and uses this method in energy minimization problem of protein structure prediction. Through experiments on three real proteins, PSAGC is proved more effective than SA and PSA, it can achieve conformations which have lower energy values. Then the paper investigates crossover interval and crossover method of PSAGC, and obtains useful conclusions
Keywords
biology; genetic algorithms; minimisation; proteins; simulated annealing; crossover interval; energy minimization problem; genetic crossover; parallel simulated annealing; protein structure prediction; Agricultural engineering; Computational modeling; Cybernetics; Genetics; Local area networks; Machine learning; Minimization methods; Nuclear magnetic resonance; Optimization methods; Predictive models; Protein engineering; Simulated annealing; Temperature; Crossover Interval; Energy Minimization; Protein Structure Prediction; Simulated Annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258721
Filename
4028455
Link To Document