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QUASAR - Scoring and ranking of sequence-structure alignments

  • Fabian Birzele*
  • , Jan E. Gewehr
  • , Ralf Zimmer
  • *Corresponding author for this work
  • Ludwig Maximilian University of Munich
  • Department of Informatics

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Summary: Sequence-structure alignments are a common means for protein structure prediction in the fields of fold recognition and homology modeling, and there is a broad variety of programs that provide such alignments based on sequence similarity, secondary structure or contact potentials. Nevertheless, finding the best sequence-structure alignment in a pool of alignments remains a difficult problem. QUASAR (quality of sequence-structure alignments ranking) provides a unifying framework for scoring sequence-structure alignments that aids finding well-performing combinations of well-known and custom-made scoring schemes. Those scoring functions can be benchmarked against widely accepted quality scores like MaxSub, TMScore, Touch and APDB, thus enabling users to test their own alignment scores against 'standard-of-truth' structure-based scores. Furthermore, individual score combinations can be optimized with respect to benchmark sets based on known structural relationships using QUASAR's in-built optimization routines.

Original languageEnglish
Pages (from-to)4425-4426
Number of pages2
JournalBioinformatics
Volume21
Issue number24
DOIs
StatePublished - Dec 2005
Externally publishedYes

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