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  • 标题:Global informatics and physical property selection in protein sequences
  • 本地全文:下载
  • 作者:Harold A. Scheraga ; S. Rackovsky
  • 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:2016
  • 卷号:113
  • 期号:7
  • 页码:1808-1810
  • DOI:10.1073/pnas.1525745113
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:The degree of informatic independence between the physical properties of amino acids as encoded in actual protein sequences is calculated. It is shown that no physical property can be identified that carries significantly less information than others and that the information overlap between different properties and different length scales along the sequence is essentially zero. These observations suggest that bioinformatic models based on arbitrarily selected sets of physical properties are inherently deficient.
  • 关键词:protein bioinformatics ; physical properties ; information theory ; Fourier analysis
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