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Demystifying PTM Identification Using MODplus: Best Practices and Pitfalls.
Na, Seungjin; Paek, Eunok.
Affiliation
  • Na S; Digital Omics Research Center, Korea Basic Science Institute, Cheongju, South Korea.
  • Paek E; Department of Computer Science, Hanyang University, Seoul, South Korea. eunokpaek@hanyang.ac.kr.
Methods Mol Biol ; 2836: 37-55, 2024.
Article in En | MEDLINE | ID: mdl-38995534
ABSTRACT
Tandem mass spectrometry (MS/MS) facilitates the rapid identification of posttranslational modifications (PTMs), which play a pivotal role in regulating numerous biological processes. This chapter explores recent advancements that expand the types of detectable PTMs and enhance the speed of the PTM searches. We also delve into computational challenges associated with searching for a multitude of PTMs simultaneously. The latter section introduces an automated procedure to identify an extensive range of PTMs using MODplus, a free PTM analysis software tool. We guide the reader through the preparation of the modification search, the determination of optional search parameters, the execution of the search, and the analysis of results, exemplified by a case study using specific MS/MS dataset.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Protein Processing, Post-Translational / Tandem Mass Spectrometry Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: South Korea

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Protein Processing, Post-Translational / Tandem Mass Spectrometry Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: South Korea