Name
Title | ||
|---|---|---|
Cheetah-MS: a web server to model protein complexes using tandem cross-linking mass spectrometry data |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1093/bioinformatics/btab449 | BIOINFORMATICS |
DocType | Volume | Issue |
Conference | 37 | 24 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamed Khakzad | 1 | 0 | 1.35 |
| Lotta Happonen | 2 | 0 | 0.68 |
| Johan Malmström | 3 | 24 | 2.00 |
| Lars Malmström | 4 | 65 | 7.19 |