| Nr |
75 (Research article) |
| Authors |
Khakzad, Hamed; Happonen, Lotta; Malmström, Johan; Malmström, Lars |
| Title |
Cheetah-MS: a web server to model protein complexes using tandem cross-linking mass spectrometry data. |
| Journal |
Bioinformatics (2021) -1 |
| DOI |
10.1093/bioinformatics/btab449 |
| Citations |
0 citations (journal impact: 5.61) |
| Abstract |
Protein-protein interactions PPI 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 MSMS 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 httpswww.txms.org.Supplementary data are available at Bioinformatics online. |