ASIA unversity:Item 310904400/2052
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    题名: Protein Structural Classes Prediction via Residues Environment Profile
    作者: KA-LOKNG
    贡献者: Department of Biotechnology and Bioinformatics, Asia University
    关键词: protein classes, solvent accessible arearesidue environment, protein structural profile
    日期: 2006-10
    上传时间: 2009-10-13 14:57:43 (UTC+8)
    出版者: Asia University
    摘要: We investigate how residue structural and physicochemical environment information, such as the protein secondary structure and residue solvent accessibility could be used for protein structural classes (all-alpha, all-beta, alpha/beta and alpha+beta) prediction. The residue environment information is described by the residue environment profiles which are derived from a relative small set of 500 protein
    sequences having a sequence identity less than 25%. It was demonstrated that this method is able to obtain an accuracy of 49.2% for a 4-type class prediction of monomeric and non-disulphide-bonded
    proteins, given the fact that none of the nonclassified protein sequences has a sequence identity higher than 25%. This result is comparable to the amino acid composition method which obtains an accuracy of 48% for a set of sequences having sequence similarity of less than 30%. The current approach has several advantages: (1) it is a physical approach, (2) there is no adjustable parameter, and (3) it is
    simple and efficient.
    關聯: Asian Journal of Health and Information Sciences 1(3):332-342
    显示于类别:[Asian Journal of Health and Information Sciences] v.1 n.3

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