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Identification of predictive sequence motifs limited by protein structure data base size

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Abstract

Associations between short amino acid sequence patterns and protein secondary structure classes can be found by searching a data base of known protein structures. Analysis of these associations suggests that secondary structure of proteins can be determined locally by sequence motifs of high predictive value, but at present our ability to find these motifs is limited by the size of the available data bases.

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Authors and Affiliations

  1. Plant Genetic Systems, Université Libre de Bruxelles, CP 160, P2, Ave. P. Héger, 1050, Bruxelles, Belgium

    Marianne J. Rooman

  2. Unité Conformation de Macromolécules Biologiques, Université Libre de Bruxelles, CP 160, P2, Ave. P. Héger, 1050, Bruxelles, Belgium

    Shoshana J. Wodak

Authors
  1. Marianne J. Rooman
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  2. Shoshana J. Wodak
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Rooman, M., Wodak, S. Identification of predictive sequence motifs limited by protein structure data base size. Nature 335, 45–49 (1988). https://doi.org/10.1038/335045a0

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