期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2013
卷号：6
期号：1
页码：71-82
语种：English
出版社：Oriental Scientific Publishing Company
摘要：Protein folding is considered as a significant confrontation in biological and protein research. This confrontation is interrelated to the fact that the conventional computational approaches are not potent enough to search for the appropriate structure in the large conformational space of protein. This insufficiency of the computational methods is a major hindrance in facing the protein folding problem. Trying to solve the problem, many researchers have examined the efficiency of the protein threading technique. Perhaps, parallel evolutionary methods for protein fold recognition have also been used. Typically, protein folding accredits to how a protein amino acid sequences with respect to the physiological conditions, folds into a three-dimensional structure called as native state. In this paper, various algorithms that have been framed for protein structure prediction. Furthermore, a survey of parallel evolutionary models for protein fold recognition has also been provided. The result of this survey showed that evolutionary methods can be effectively used to resolve the protein folding problems.
关键词：Protein folding model ; Protein threading ; Evolutionary methods ; Optimization ; Genetic algorithm
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