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  • 标题:Methods and algorithms for statistical analysis of protein sequences
  • 本地全文:下载
  • 作者:V Brendel ; P Bucher ; I R Nourbakhsh
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:1992
  • 卷号:89
  • 期号:6
  • 页码:2002-2006
  • DOI:10.1073/pnas.89.6.2002
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:We describe several protein sequence statistics designed to evaluate distinctive attributes of residue content and arrangement in primary structure. Considered are global compositional biases, local clustering of different residue types (e.g., charged residues, hydrophobic residues, Ser/Thr), long runs of charged or uncharged residues, periodic patterns, counts and distribution of homooligopeptides, and unusual spacings between particular residue types. The computer program SAPS (statistical analysis of protein sequences) calculates all the statistics for any individual protein sequence input and is available for the UNIX environment through electronic mail on request to V.B. (volker/genomic@stanford.edu).
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