Literature DB >> 24889695

Software eyes for protein post-translational modifications.

Seungjin Na1, Eunok Paek.   

Abstract

Post-translational modifications (PTMs) are critical to almost all aspects of complex processes of the cell. Identification of PTMs is one of the biggest challenges for proteomics, and there have been many computational studies for the analysis of PTMs from tandem mass spectrometry (MS/MS). Most early PTM identification studies have been performed by matching MS/MS data to protein databases, using database search tools, but they are prohibitively slow when a large number of PTMs is given as a search parameter. In this article, we present recent developments to search for more types of PTMs and to speed up the search, and discuss many computational issues and solutions in terms of identifying multiply modified peptides or searching for all possible modifications at once in unrestrictive mode. Apart from the most common type of PTMs involving covalent addition of functional groups to proteins, PTMs such as disulfide linkage require dedicated software for the analysis because they may involve cross-linking between two different parts of proteins. Finally, methods for identification of protein disulfide bonds are presented.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  computational proteomics; post-translational modification; software; tandem mass spectrometry

Mesh:

Substances:

Year:  2014        PMID: 24889695     DOI: 10.1002/mas.21425

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  19 in total

1.  GAPP: A Proteogenomic Software for Genome Annotation and Global Profiling of Post-translational Modifications in Prokaryotes.

Authors:  Jia Zhang; Ming-Kun Yang; Honghui Zeng; Feng Ge
Journal:  Mol Cell Proteomics       Date:  2016-09-14       Impact factor: 5.911

2.  PTMiner: Localization and Quality Control of Protein Modifications Detected in an Open Search and Its Application to Comprehensive Post-translational Modification Characterization in Human Proteome.

Authors:  Zhiwu An; Linhui Zhai; Wantao Ying; Xiaohong Qian; Fuzhou Gong; Minjia Tan; Yan Fu
Journal:  Mol Cell Proteomics       Date:  2018-11-12       Impact factor: 5.911

3.  A Caenorhabditis elegans Mass Spectrometric Resource for Neuropeptidomics.

Authors:  Sven Van Bael; Sven Zels; Kurt Boonen; Isabel Beets; Liliane Schoofs; Liesbet Temmerman
Journal:  J Am Soc Mass Spectrom       Date:  2018-01-03       Impact factor: 3.109

Review 4.  Algorithms and design strategies towards automated glycoproteomics analysis.

Authors:  Han Hu; Kshitij Khatri; Joseph Zaia
Journal:  Mass Spectrom Rev       Date:  2016-01-04       Impact factor: 10.946

5.  Post-translational modifications reshape the antigenic landscape of the MHC I immunopeptidome in tumors.

Authors:  Assaf Kacen; Aaron Javitt; Matthias P Kramer; David Morgenstern; Tomer Tsaban; Merav D Shmueli; Guo Ci Teo; Felipe da Veiga Leprevost; Eilon Barnea; Fengchao Yu; Arie Admon; Lea Eisenbach; Yardena Samuels; Ora Schueler-Furman; Yishai Levin; Alexey I Nesvizhskii; Yifat Merbl
Journal:  Nat Biotechnol       Date:  2022-10-06       Impact factor: 68.164

6.  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

7.  Fast Open Modification Spectral Library Searching through Approximate Nearest Neighbor Indexing.

Authors:  Wout Bittremieux; Pieter Meysman; William Stafford Noble; Kris Laukens
Journal:  J Proteome Res       Date:  2018-09-13       Impact factor: 4.466

Review 8.  Discovering the landscape of protein modifications.

Authors:  E Keith Keenan; Derek K Zachman; Matthew D Hirschey
Journal:  Mol Cell       Date:  2021-04-01       Impact factor: 17.970

9.  Multi-species Identification of Polymorphic Peptide Variants via Propagation in Spectral Networks.

Authors:  Seungjin Na; Samuel H Payne; Nuno Bandeira
Journal:  Mol Cell Proteomics       Date:  2016-09-08       Impact factor: 5.911

Review 10.  Toward a systems-level view of dynamic phosphorylation networks.

Authors:  Robert H Newman; Jin Zhang; Heng Zhu
Journal:  Front Genet       Date:  2014-08-15       Impact factor: 4.599

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.