English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  HHsenser: Exhaustive transitive profile search using HMM-HMM comparison

Söding, J., Remmert, M., Biegert, A., & Lupas, A. (2006). HHsenser: Exhaustive transitive profile search using HMM-HMM comparison. Nucleic Acids Research (London), 34(Web Server issue), W374-W378. doi:10.1093/nar/gkl195.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Söding, J1, Author                 
Remmert, M1, Author           
Biegert, A1, Author           
Lupas, AN1, Author                 
Affiliations:
1Department Protein Evolution, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3375791              

Content

show
hide
Free keywords: -
 Abstract: HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein sequence or a multiple alignment, it can iteratively explore whole superfamilies, producing few or no false positives. The output is a multiple alignment of all detected homologs. HHsenser's sensitivity should make it a useful tool for evolutionary studies. It may also aid applications that rely on diverse multiple sequence alignments as input, such as homology-based structure and function prediction, or the determination of functional residues by conservation scoring and functional subtyping.

HHsenser can be accessed at http://hhsenser.tuebingen.mpg.de/. It has also been integrated into our structure and function prediction server HHpred (http://hhpred.tuebingen.mpg.de/) to improve predictions for near-singleton sequences.

Details

show
hide
Language(s): eng - English
 Dates: 2006-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/nar/gkl195
PMID: 16845029
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Nucleic Acids Research (London)
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 34 (Web Server issue) Sequence Number: - Start / End Page: W374 - W378 Identifier: ISSN: 0305-1048
CoNE: https://pure.mpg.de/cone/journals/resource/110992357379342