HangOut: Generating clean PSI-BLAST profiles for domains with long insertions

Bong Hyun Kim, Qian Cong, Nick V. Grishin

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Summary: Profile-based similarity search is an essential step in structure-function studies of proteins. However, inclusion of non-homologous sequence segments into a profile causes its corruption and results in false positives. Profile corruption is common in multidomain proteins, and single domains with long insertions are a significant source of errors. We developed a procedure (HangOut) that, for a single domain with specified insertion position, cleans erroneously extended PSI-BLAST alignments to generate better profiles. Availability: HangOut is implemented in Python 2.3 and runs on all Unix-compatible platforms. The source code is available under the GNU GPL license at Contact:; Supplementary information: Supplementary data are available at Bioinformatics online.

Original languageEnglish (US)
Article numberbtq208
Pages (from-to)1564-1565
Number of pages2
Issue number12
StatePublished - Apr 22 2010

ASJC Scopus subject areas

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


Dive into the research topics of 'HangOut: Generating clean PSI-BLAST profiles for domains with long insertions'. Together they form a unique fingerprint.

Cite this