TM or not TM: Transmembrane protein prediction with low false positive rate using DAS-TMfilter

Miklos Cserzo, Frank Eisenhaber, Birgit Eisenhaber, Istvan Simon

Research output: Contribution to journalArticle

78 Citations (Scopus)

Abstract

Summary: Web-based servers implementing the DAS-TMfilter algorithm have been launched at three mirror sites and their usage is described. The underlying computer program is an upgraded and modified version of the DAS-prediction method. The new server is designed to make distinction between protein sequences with and without transmembrane (TM) helices at a reasonably low rate of false positive prediction (∼1 among 100 unrelated queries) while the high efficiency of the original algorithm locating TM segments in queries is preserved (sensitivity of ∼95% among documented proteins with helical TM regions).

Original languageEnglish
Pages (from-to)136-137
Number of pages2
JournalBioinformatics
Volume20
Issue number1
DOIs
Publication statusPublished - Jan 1 2004

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Fingerprint Dive into the research topics of 'TM or not TM: Transmembrane protein prediction with low false positive rate using DAS-TMfilter'. Together they form a unique fingerprint.

  • Cite this