Literature DB >> 20377245

Peptidomics coming of age: a review of contributions from a bioinformatics angle.

Gerben Menschaert1, Tom T M Vandekerckhove, Geert Baggerman, Liliane Schoofs, Walter Luyten, Wim Van Criekinge.   

Abstract

The term peptidomics for a new promising "omics" field was not introduced until the beginning of 2000. The approach has been proven successful in several domains such as neuroendocrine research and biomarker or drug discovery. This review reports on bioinformatics tools and methodologies within the peptidomics field and the application thereof. Obviously, a plethora of proteomics data analysis tools lends themselves to direct use in peptidomics because the latter is a subfield of the former, at least to a certain extent. Nevertheless, peptidomics-specific tool extensions, inventions, and validation procedures have emerged, and certain tools are more suitable for this subfield than others due to small but important differences in peptidomics sample analysis. This paper focuses on these topics. Furthermore, it gives a comprehensive overview of available online tools tailored to the peptidomics field. To conclude, an ideal pipeline for bioactive peptide identification is presented.

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Year:  2010        PMID: 20377245     DOI: 10.1021/pr900929m

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  24 in total

1.  msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies.

Authors:  Berend Hoekman; Rainer Breitling; Frank Suits; Rainer Bischoff; Peter Horvatovich
Journal:  Mol Cell Proteomics       Date:  2012-02-07       Impact factor: 5.911

Review 2.  The role of proteomics in the age of immunotherapies.

Authors:  Sarah A Hayes; Stephen Clarke; Nick Pavlakis; Viive M Howell
Journal:  Mamm Genome       Date:  2018-07-25       Impact factor: 2.957

3.  In silico study of peptide inhibitors against BACE 1.

Authors:  Navya Raj; Agnes Helen; N Manoj; G Harish; Vipin Thomas; Shailja Singh; Seema Sehrawat; Shaguna Seth; Achuthsankar S Nair; Abhinav Grover; Pawan K Dhar
Journal:  Syst Synth Biol       Date:  2015-03-19

4.  More than two decades of research on insect neuropeptide GPCRs: an overview.

Authors:  Jelle Caers; Heleen Verlinden; Sven Zels; Hans Peter Vandersmissen; Kristel Vuerinckx; Liliane Schoofs
Journal:  Front Endocrinol (Lausanne)       Date:  2012-11-30       Impact factor: 5.555

5.  Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.

Authors:  Robert Cunningham; Di Ma; Lingjun Li
Journal:  Front Biol (Beijing)       Date:  2012-08-01

Review 6.  Tools to define the melanoma-associated immunopeptidome.

Authors:  Eva Bräunlein; Angela M Krackhardt
Journal:  Immunology       Date:  2017-08-28       Impact factor: 7.397

7.  Differential (14)N/(15)N-Labeling of Peptides Using N-Terminal Charge Derivatization with a High-Proton Affinity for Straightforward de novo Peptide Sequencing.

Authors:  Yoichiro Nihashi; Masahiro Miyashita; Hiroyuki Awane; Hisashi Miyagawa
Journal:  Mass Spectrom (Tokyo)       Date:  2013-11-23

8.  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

9.  Exploring the Sea Urchin Neuropeptide Landscape by Mass Spectrometry.

Authors:  Eric B Monroe; Suresh P Annangudi; Andinet A Wadhams; Timothy A Richmond; Ning Yang; Bruce R Southey; Elena V Romanova; Liliane Schoofs; Geert Baggerman; Jonathan V Sweedler
Journal:  J Am Soc Mass Spectrom       Date:  2018-04-17       Impact factor: 3.109

Review 10.  Biomarkers in Alzheimer's disease analysis by mass spectrometry-based proteomics.

Authors:  Yahui Liu; Hong Qing; Yulin Deng
Journal:  Int J Mol Sci       Date:  2014-05-06       Impact factor: 5.923

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