Dissemin is shutting down on January 1st, 2025

Published in

SAGE Publications, Innate Immunity, 4(19), p. 398-402, 2012

DOI: 10.1177/1753425912465661

Links

Tools

Export citation

Search in Google Scholar

LRRfinder2.0: A webserver for the prediction of leucine-rich repeats

Journal article published in 2012 by Victoria Offord, Dirk Werling ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Leucine-rich repeats (LRRs) are versatile motifs present in more than 6000 proteins throughout the phylogenetic kingdom. Tandem LRRs generate a characteristic horseshoe with a diverse range of functions. Fulfilling a key role in the innate immune system, LRRs form the TLR and NOD-like receptor (NLR) pathogen-recognition domain. Host–pathogen interactions mediated by LRRs drive those involved in ligand recognition to become distinct from their consensus motif. Most LRRs range between 21 and 30 residues; however, large insertions in certain TLRs can generate repeats of over 60 amino acids. LRR variability makes them ideal for species-specific mediation of host-pathogen interactions. Teleost TLRs show large insertions, making cross-species alignments difficult without prior demarcation of their LRR motifs. We present LRRfinder2.0, a webserver for LRR prediction. LRRfinder2.0 utilizes scoring matrices comprising more than 60,000 LRR motifs from more than 200 species. The underlying TLR database tLRRdb contains more than 3500 manually annotated sequences, augmenting identification of irregular LRR motifs.