Literature DB >> 32047889

Mass spectrometry-based protein identification in proteomics-a review.

Zainab Noor, Seong Beom Ahn, Mark S Baker, Shoba Ranganathan, Abidali Mohamedali.   

Abstract

Statistically, accurate protein identification is a fundamental cornerstone of proteomics and underpins the understanding and application of this technology across all elements of medicine and biology. Proteomics, as a branch of biochemistry, has in recent years played a pivotal role in extending and developing the science of accurately identifying the biology and interactions of groups of proteins or proteomes. Proteomics has primarily used mass spectrometry (MS)-based techniques for identifying proteins, although other techniques including affinity-based identifications still play significant roles. Here, we outline the basics of MS to understand how data are generated and parameters used to inform computational tools used in protein identification. We then outline a comprehensive analysis of the bioinformatics and computational methodologies used in protein identification in proteomics including discussing the most current communally acceptable metrics to validate any identification.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  bioinformatics tools; mass spectrometry; protein characterization; protein identification; proteome; proteomics

Year:  2021        PMID: 32047889     DOI: 10.1093/bib/bbz163

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  7 in total

Review 1.  Label-Free Physical Techniques and Methodologies for Proteins Detection in Microfluidic Biosensor Structures.

Authors:  Georgii Konoplev; Darina Agafonova; Liubov Bakhchova; Nikolay Mukhin; Marharyta Kurachkina; Marc-Peter Schmidt; Nikolay Verlov; Alexander Sidorov; Aleksandr Oseev; Oksana Stepanova; Andrey Kozyrev; Alexander Dmitriev; Soeren Hirsch
Journal:  Biomedicines       Date:  2022-01-18

Review 2.  Proteotranscriptomics - A facilitator in omics research.

Authors:  Michal Levin; Falk Butter
Journal:  Comput Struct Biotechnol J       Date:  2022-07-09       Impact factor: 6.155

Review 3.  Interlaboratory Studies Using the NISTmAb to Advance Biopharmaceutical Structural Analytics.

Authors:  Katharina Yandrofski; Trina Mouchahoir; M Lorna De Leoz; David Duewer; Jeffrey W Hudgens; Kyle W Anderson; Luke Arbogast; Frank Delaglio; Robert G Brinson; John P Marino; Karen Phinney; Michael Tarlov; John E Schiel
Journal:  Front Mol Biosci       Date:  2022-05-05

4.  Identification of interaction partners using protein aggregation and NMR spectroscopy.

Authors:  Young Kee Chae; Han Bin Shin; Tae Rin Woo
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

Review 5.  Protein-protein interaction prediction with deep learning: A comprehensive review.

Authors:  Farzan Soleymani; Eric Paquet; Herna Viktor; Wojtek Michalowski; Davide Spinello
Journal:  Comput Struct Biotechnol J       Date:  2022-09-19       Impact factor: 6.155

Review 6.  Utility of Proteomics in Emerging and Re-Emerging Infectious Diseases Caused by RNA Viruses.

Authors:  Maike Sperk; Robert van Domselaar; Jimmy Esneider Rodriguez; Flora Mikaeloff; Beatriz Sá Vinhas; Elisa Saccon; Anders Sönnerborg; Kamal Singh; Soham Gupta; Ákos Végvári; Ujjwal Neogi
Journal:  J Proteome Res       Date:  2020-10-23       Impact factor: 4.466

Review 7.  Insight to Functional Conformation and Noncovalent Interactions of Protein-Protein Assembly Using MALDI Mass Spectrometry.

Authors:  Marco Giampà; Elvira Sgobba
Journal:  Molecules       Date:  2020-10-28       Impact factor: 4.411

  7 in total

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