ASIA unversity:Item 310904400/16572
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 90452/105769 (86%)
造访人次 : 11946603      在线人数 : 403
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/16572


    题名: Protein Structural Classes Prediction via Residues Environment Profile
    作者: 吳家樂;Ng, Ka-Lok
    贡献者: 生物與醫學資訊學系
    关键词: protein classes;solvent accessible area;residue environment;protein structural profile.
    日期: 2006
    上传时间: 2012-11-23 17:14:41 (UTC+8)
    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 CONTROL
    显示于类别:[生物資訊與醫學工程學系 ] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML107检视/开启


    在ASIAIR中所有的数据项都受到原著作权保护.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈