UniProt-Related Documents (UniReD): assisting wet lab biologists in their quest on finding novel counterparts in a protein network.
Journal
NAR genomics and bioinformatics
ISSN: 2631-9268
Titre abrégé: NAR Genom Bioinform
Pays: England
ID NLM: 101756213
Informations de publication
Date de publication:
Mar 2020
Mar 2020
Historique:
received:
02
08
2019
revised:
20
01
2020
accepted:
31
01
2020
entrez:
12
2
2021
pubmed:
13
2
2021
medline:
13
2
2021
Statut:
epublish
Résumé
The in-depth study of protein-protein interactions (PPIs) is of key importance for understanding how cells operate. Therefore, in the past few years, many experimental as well as computational approaches have been developed for the identification and discovery of such interactions. Here, we present UniReD, a user-friendly, computational prediction tool which analyses biomedical literature in order to extract known protein associations and suggest undocumented ones. As a proof of concept, we demonstrate its usefulness by experimentally validating six predicted interactions and by benchmarking it against public databases of experimentally validated PPIs succeeding a high coverage. We believe that UniReD can become an important and intuitive resource for experimental biologists in their quest for finding novel associations within a protein network and a useful tool to complement experimental approaches (e.g. mass spectrometry) by producing sorted lists of candidate proteins for further experimental validation. UniReD is available at http://bioinformatics.med.uoc.gr/unired/.
Identifiants
pubmed: 33575553
doi: 10.1093/nargab/lqaa005
pii: lqaa005
pmc: PMC7671407
doi:
Types de publication
Journal Article
Langues
eng
Pagination
lqaa005Informations de copyright
© The Author(s) 2019. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.
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