Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Authors
Na, SeungjinKim, JihyungPaek, Eunok
Issue Date
Sep-2019
Publisher
American Chemical Society
Citation
Analytical Chemistry, v.91, no.17, pp 11324 - 11333
Pages
10
Indexed
SCI
SCIE
SCOPUS
Journal Title
Analytical Chemistry
Volume
91
Number
17
Start Page
11324
End Page
11333
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/147222
DOI
10.1021/acs.analchem.9b02445
ISSN
0003-2700
1520-6882
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.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Paek, Eun ok photo

Paek, Eun ok
COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE