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Please use this identifier to cite or link to this item: http://142.54.178.187:9060/xmlui/handle/123456789/16249
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dc.contributor.authorGao, Jie-
dc.contributor.authorJin, Pei-Xuan-
dc.contributor.authorXu, Hong-xing-
dc.date.accessioned2023-01-20T06:06:09Z-
dc.date.available2023-01-20T06:06:09Z-
dc.date.issued2014-05-21-
dc.identifier.citationGao, 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.en_US
dc.identifier.issn1011-601X-
dc.identifier.urihttp://142.54.178.187:9060/xmlui/handle/123456789/16249-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherKarachi: Faculty of Pharmacy & Pharmaceutical Sciences University of Karachien_US
dc.subjectinfluenza A virusen_US
dc.subjectHNXP 3D lattice modelen_US
dc.subject3D protein structure predictionen_US
dc.subjectclose contact couplesen_US
dc.subjectoptimization genetic algorithm (OGA)en_US
dc.title3D protein structure prediction of influenza A virus based on optimization genetic algorithmen_US
dc.typeArticleen_US
Appears in Collections:Issue No.3 (Supplementary)

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