• Medientyp: E-Artikel
  • Titel: Discovery of stable and significant binding motif pairs from PDB complexes and protein interaction datasets
  • Beteiligte: Li, Haiquan; Li, Jinyan
  • Erschienen: Oxford University Press (OUP), 2005
  • Erschienen in: Bioinformatics
  • Sprache: Englisch
  • DOI: 10.1093/bioinformatics/bti019
  • ISSN: 1367-4811; 1367-4803
  • Schlagwörter: Computational Mathematics ; Computational Theory and Mathematics ; Computer Science Applications ; Molecular Biology ; Biochemistry ; Statistics and Probability
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  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>Motivation: Discovery of binding sites is important in the study of protein–protein interactions. In this paper, we introduce stable and significant motif pairs to model protein-binding sites. The stability is the pattern’s resistance to some transformation. The significance is the unexpected frequency of occurrence of the pattern in a sequence dataset comprising known interacting protein pairs. Discovery of stable motif pairs is an iterative process, undergoing a chain of changing but converging patterns. Determining the starting point for such a chain is an interesting problem. We use a protein complex dataset extracted from the Protein Data Bank to help in identifying those starting points, so that the computational complexity of the problem is much released.</jats:p> <jats:p>Results: We found 913 stable motif pairs, of which 765 are significant. We evaluated these motif pairs using comprehensive comparison results against random patterns. Wet-experimentally discovered motifs reported in the literature were also used to confirm the effectiveness of our method.</jats:p> <jats:p>Contact  haiquan@i2r.a-star.edu.sg</jats:p> <jats:p>Supplementary information  http://sdmc.i2r.a-star.edu.sg/BindingMotifPairs</jats:p>
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