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Evaluation of search engines for phosphopeptide identification and quantitation

Orbitrap_SciLib
Reputable Mentor II
Reputable Mentor II
Xiaoyue Jiang1, David Horn1, Ryan Bomgarden2 ,Tara Schroeder3, Rosa Viner1, Andreas FR Huhmer1

Purpose: To compare different fragmentation methods including HCD, CID, EThcD for phosphopeptide identification. The performance of search engine platforms for phosphopeptide identification and quantitation were evaluated and optimized. Methods: Enriched and multiplexed quantitative phosphopeptides were analyzed by mass spectrometry (MS) and searched using the SequestHT, Byonic and Mascot nodes in Proteome Discoverer software and the Andromeda search engine in MaxQuant software . Results: Search engines performed differently for multiple fragmentation methods on the same sample. The quantitation accuracy was comparable across search engines. Novel search workflows were designed in Proteome Discoverer to maximize identification and to optimize quantitation accuracy


1Thermo Fisher Scientific, San Jose, CA 2Thermo Fisher Scientific, Rockford, IL 3Thermo Fisher Scientific, Somerset, NJ
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Last update:
‎11-09-2021 01:16 AM
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