3D protein structure prediction of influenza A virus based on optimization genetic algorithm

Please use this identifier to cite or link to this item: http://localhost:80/xmlui/handle/123456789/16249

Title:	3D protein structure prediction of influenza A virus based on optimization genetic algorithm
Authors:	Gao, Jie Jin, Pei-Xuan Xu, Hong-xing
Keywords:	influenza A virus HNXP 3D lattice model 3D protein structure prediction close contact couples optimization genetic algorithm (OGA)
Issue Date:	21-May-2014
Publisher:	Karachi: Faculty of Pharmacy & Pharmaceutical Sciences University of Karachi
Citation:	Gao, J., Jin, P. X., & Xu, H. X. (2014). 3D protein structure prediction of influenza A virus based on optimization genetic algorithm. Pakistan Journal of Pharmaceutical Sciences, 27.
Abstract:	The 3D structure of close polymer is constituted by the interaction of close contact couples among amino acid residues. In this paper, 3D protein structure of influenza A virus was predicted. Twenty kinds of amino acid residues were divided into four categories according to the number of close contact couples. The stable structure with minimum energy was obtained by using optimization genetic algorithm. The HNXP 3D lattice model was established to predict the 3D protein structure. It can be concluded that the two kinds of structures are significantly similar by computing the similarity.
URI:	http://142.54.178.187:9060/xmlui/handle/123456789/16249
ISSN:	1011-601X
Appears in Collections:	Issue No.3 (Supplementary)

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