STRUCTFAST: Protein sequence remote homology detection and alignment using novel dynamic programming and profile-profile scoring

Derek A. Debe, Joseph F. Danzer, William A. Goddard, Aleksandar Poleksic

Research output: Contribution to journalArticlepeer-review

Abstract

STRUCTFAST is a novel profile-profile alignment algorithm capable of detecting weak similarities between protein sequences. The increased sensitivity and accuracy of the STRUCTFAST method are achieved through several unique features. First, the algorithm utilizes a novel dynamic programming engine capable of incorporating important information from a structural family directly into the alignment process. Second, the algorithm employs a rigorous analytical formula for profile-profile scoring to overcome the limitations of ad hoc scoring functions that require adjustable parameter training. Third, the algorithm employs Convergent Island Statistics (CIS) to compute the statistical significance of alignment scores independently for each pair of sequences. STRUCTFAST routinely produces alignments that meet or exceed the quality obtained by an expert human homology modeler, as evidenced by its performance in the latest CAFASP4 and CASP6 blind prediction benchmark experiments.

Original languageEnglish
Pages (from-to)960-967
Number of pages8
JournalProteins: Structure, Function and Genetics
Volume64
Issue number4
DOIs
Publication statusPublished - 1 Sept 2006
Externally publishedYes

Keywords

  • Alignment algorithms
  • Alignment statistics
  • Comparative modeling
  • Homology modeling
  • Protein structure

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