REP2: A Web Server to Detect Common Tandem Repeats in Protein Sequences.


Journal

Journal of molecular biology
ISSN: 1089-8638
Titre abrégé: J Mol Biol
Pays: Netherlands
ID NLM: 2985088R

Informations de publication

Date de publication:
28 05 2021
Historique:
received: 29 09 2020
revised: 01 02 2021
accepted: 21 02 2021
entrez: 11 5 2021
pubmed: 12 5 2021
medline: 25 8 2021
Statut: ppublish

Résumé

Ensembles of tandem repeats (TRs) in protein sequences expand rapidly to form domains well suited for interactions with proteins. For this reason, they are relatively frequent. Some TRs have known structures and therefore it is advantageous to predict their presence in a protein sequence. However, since most TRs diverge quickly, their detection by classical sequence comparison algorithms is not very accurate. Previously, we developed a method and a web server that used curated profiles and thresholds for the detection of 11 common TRs. Here we present a new web server (REP2) that allows the analysis of TRs in both individual and aligned sequences. We provide currently precomputed analyses for a selection of 78 UniProt reference proteomes. We illustrate how these data can be used to study the evolution of TRs using comparative genomics. REP2 can be accessed at http://cbdm-01.zdv.uni-mainz.de/~munoz/rep/.

Identifiants

pubmed: 33972020
pii: S0022-2836(21)00089-9
doi: 10.1016/j.jmb.2021.166895
pii:
doi:

Substances chimiques

Proteins 0
Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

166895

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Mohamed Kamel (M)

Department of Computer Science, Faculty of Mathematics and Informatics, University of M'sila, 28000 M'sila, Algeria; Faculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.

Kristina Kastano (K)

Faculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.

Pablo Mier (P)

Faculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.

Miguel A Andrade-Navarro (MA)

Faculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany. Electronic address: andrade@uni-mainz.de.

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Classifications MeSH