Literature DB >> 31365238

MODplus: Robust and Unrestrictive Identification of Post-Translational Modifications Using Mass Spectrometry.

Seungjin Na1, Jihyung Kim1, Eunok Paek1.   

Abstract

Post-translational modifications regulate various cellular processes and are of great biological interest. Unrestrictive searches of mass spectrometry data enable the detection of any type of modification. Here we propose MODplus, which makes practical unrestrictive searches possible by allowing (1) hundreds of modifications, (2) multiple modifications per peptide, (3) the whole proteome database, and (4) any tolerant values in search parameters. The utility of MODplus was demonstrated in large human data sets of HEK293 cells and TMT-labeled phosphorylation enrichment. Notably, MODplus supports identifying different modification types at multiple sites and reports real chemical and biological modifications, as it has been very labor intensive to link unrestrictive search results to real modifications. We also confirmed the presence of Missing Precursor (MP) spectra that were not identifiable using targeted precursor masses. The MP spectra mostly resulted in identifications of wrong modifications and negatively affected the overall performance, often by as much as 10%. MODplus can rapidly recognize MP spectra and correct their identifications, resulting in increased identification rate up to 70% in the HEK293 data set as well as improved reliability.

Entities:  

Year:  2019        PMID: 31365238     DOI: 10.1021/acs.analchem.9b02445

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  3 in total

1.  Crystal-C: A Computational Tool for Refinement of Open Search Results.

Authors:  Hui-Yin Chang; Andy T Kong; Felipe da Veiga Leprevost; Dmitry M Avtonomov; Sarah E Haynes; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2020-05-08       Impact factor: 4.466

2.  TIDD: tool-independent and data-dependent machine learning for peptide identification.

Authors:  Honglan Li; Seungjin Na; Kyu-Baek Hwang; Eunok Paek
Journal:  BMC Bioinformatics       Date:  2022-03-30       Impact factor: 3.169

3.  Cataract-Associated New Mutants S175G/H181Q of βΒ2-Crystallin and P24S/S31G of γD-Crystallin Are Involved in Protein Aggregation by Structural Changes.

Authors:  In-Kang Song; Seungjin Na; Eunok Paek; Kong-Joo Lee
Journal:  Int J Mol Sci       Date:  2020-09-05       Impact factor: 5.923

  3 in total

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