An efficient automated computer vision based technique for detection of three dimensional structural motifs in proteins

Daniel Fischer, Orly Bachar, Ruth Nussinov, Haim Wolfson

Research output: Contribution to journalArticlepeer-review

81 Scopus citations

Abstract

As the number of available three dimensional coordinates of proteins increases, it is now recognized that proteins from different families and topologies are constructed from independent motifs. Detection of specific structural motifs within proteins aids in understanding their role and the mechanism of their operation. To aid in identification and use of these motifs it has become necessary to develop efficient methods for systematic scanning of structural databases. To date, methods of structural protein comparison suffer from at least one of the following limitations: (1) are not fully automated (require human intervention), (2) are limited to relatively similar structures, (3) are constrained to linear alignments of the structures, (4) are sensitive to insertions, deletions or gaps in the sequences or (5) are very time consuming.

Original languageEnglish
Pages (from-to)769-788
Number of pages20
JournalJournal of Biomolecular Structure and Dynamics
Volume9
Issue number4
DOIs
StatePublished - 1 Jan 1992
Externally publishedYes

ASJC Scopus subject areas

  • Structural Biology
  • Molecular Biology

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