Projects per year
Abstract
Cross-linking/mass spectrometry is an increasingly popular approach to obtain structural information on proteins and their complexes in solution. However, methods for error assessment are under current development. We note that false-discovery rates can be estimated at different points during data analysis, and are most relevant for residue or protein pairs. Missing this point led in our example analysis to an actual 8.4% error when 5% error was targeted. In addition, pre-filtering of peptide-spectrum matches and of identified peptide pairs substantially improved results. In our example, this pre-filtering increased the number of residue pairs (5% FDR) by 33% (n=108 to n=144). This number improvement did not come at the expense of reduced accuracy as the added data agreed with an available crystal structure. We provide an open-source tool, xiFDR (https://github.com/rappsilberlab/xiFDR), that implements our observations for routine application.
Original language | English |
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Journal | Analytical Chemistry |
Volume | 89 |
Issue number | 7 |
Early online date | 7 Mar 2017 |
DOIs | |
Publication status | Published - 4 Apr 2017 |
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Dive into the research topics of 'Quirks of Error Estimation in Cross-Linking/Mass Spectrometry'. Together they form a unique fingerprint.Projects
- 3 Finished
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Protein structures in the context of time and space by mass spectrometry
1/06/14 → 31/05/21
Project: Research
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Core funding renewal for the Wellcome Trust Centre for Cell Biology
1/10/11 → 30/04/17
Project: Research
Profiles
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Juri Rappsilber
- School of Biological Sciences - Personal chair in Proteomics
Person: Academic: Research Active