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Domain discovery method for topological profile searches in protein structures.

  • Juris Viksna*
  • , David Gilbert
  • , Gilleain Torrance
  • *Corresponding author for this work
  • University of Latvia

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

We describe a method for automated domain discovery for topological profile searches in protein structures. The method is used in a system TOPStructure for fast prediction of CATH classification for protein structures (given as PDB files). It is important for profile searches in multi-domain proteins, for which the profile method by itself tends to perform poorly. We also present an O(C(n)k + nk(2)) time algorithm for this problem, compared to the O(C(n)k + (nk)(2)) time used by a trivial algorithm (where n is the length of the structure, k is the number of profiles and C(n) is the time needed to check for a presence of a given motif in a structure of length n). This method has been developed and is currently used for TOPS representations of protein structures and prediction of CATH classification, but may be applied to other graph-based representations of protein or RNA structures and/or other prediction problems. A protein structure prediction system incorporating the domain discovery method is available at http://bioinf.mii.lu.lv/tops/.

Original languageEnglish
Pages (from-to)72-81
Number of pages10
JournalGenome informatics. International Conference on Genome Informatics
Volume15
Issue number2
Publication statusPublished - 2004
Externally publishedYes

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