Cheetah-MS: a web server to model protein complexes using tandem cross-linking mass spectrometry data.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
11 12 2021
11 12 2021
Historique:
received:
10
03
2021
revised:
07
05
2021
accepted:
14
06
2021
medline:
13
4
2023
pubmed:
16
6
2021
entrez:
15
6
2021
Statut:
ppublish
Résumé
Protein-protein interactions (PPIs) are central in many biological processes but difficult to characterize, especially in complex, unfractionated samples. Chemical cross-linking combined with mass spectrometry (MS) and computational modeling is gaining recognition as a viable tool in protein interaction studies. Here, we introduce Cheetah-MS, a web server for predicting the PPIs in a complex mixture of samples. It combines the capability and sensitivity of MS to analyze complex samples with the power and resolution of protein-protein docking. It produces the quaternary structure of the PPI of interest by analyzing tandem MS/MS data (also called MS2). Combining MS analysis and modeling increases the sensitivity and, importantly, facilitates the interpretation of the results. Cheetah-MS is freely available as a web server at https://www.txms.org.
Identifiants
pubmed: 34128979
pii: 6299385
doi: 10.1093/bioinformatics/btab449
pmc: PMC8665757
doi:
Substances chimiques
Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4871-4872Informations de copyright
© The Author(s) 2021. Published by Oxford University Press.