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CCS-centric protein identification using IM Score
EP36114
Poster Title: CCS-centric protein identification using IM Score
Submitted on 09 Mar 2021
Author(s): Robin Park1, Patrick Garrett3, Sven Brehmer2, Titus Jung3, Vijayaraja Gnanasambandan1, Marc-Antoine Beauvais1, Sebastian Wehner2, Lennard Pfennig2, Hyunsoo Kim3, Christopher Adams1, Dennis Trede2, John R. Yates, III3, Rohan Thakur1 1Bruker Daltonics Inc., USA 2Bruker Daltonik GmbH, Bremen, Germany 3Scripps Research, San Diego, USA
Affiliations:
This poster was presented at US HUPO 2021
Poster Views: 52
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Poster Information
Abstract: The database search algorithms to identify proteins have advanced since SEQUEST was first introduced in 1994. The search engines calculate scores by comparing experimental spectra from MS/MS data against in-silico spectra derived from protein databases. Even though a lot of efforts have been invested in improving protein identification, still a large number of spectra cannot be identified. One of the obstacles is spectrum ambiguity. For example, more than one peptide candidate from the protein database can often have the same precursor mass and similar fragment ion patterns generatingcompeting PSM search scores. Summary: This study proves IMScore based on ion mobility values can play important role in the data anlaysis We are continuously integrating IMScore to the FDR calculation to boost confidence in the search results We will apply IMScore to a smart acquisition from PaSER real-time search platform, PTM analysis. References: Report abuse »
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