Literature DB >> 15821096

Experimental and bioinformatic approaches for interrogating protein-protein interactions to determine protein function.

Arnaud Droit1, Guy G Poirier, Joanna M Hunter.   

Abstract

An ambitious goal of proteomics is to elucidate the structure, interactions and functions of all proteins within cells and organisms. One strategy to determine protein function is to identify the protein-protein interactions. The increasing use of high-throughput and large-scale bioinformatics-based studies has generated a massive amount of data stored in a number of different databases. A challenge for bioinformatics is to explore this disparate data and to uncover biologically relevant interactions and pathways. In parallel, there is clearly a need for the development of approaches that can predict novel protein-protein interaction networks in silico. Here, we present an overview of different experimental and bioinformatic methods to elucidate protein-protein interactions.

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Year:  2005        PMID: 15821096     DOI: 10.1677/jme.1.01693

Source DB:  PubMed          Journal:  J Mol Endocrinol        ISSN: 0952-5041            Impact factor:   5.098


  12 in total

Review 1.  Reporter gene imaging of protein-protein interactions in living subjects.

Authors:  Tarik F Massoud; Ramasamy Paulmurugan; Abhijit De; Pritha Ray; Sanjiv S Gambhir
Journal:  Curr Opin Biotechnol       Date:  2007-01-24       Impact factor: 9.740

2.  Comparative protein interactomics of neuroglobin and myoglobin.

Authors:  Bryan A Haines; Darcy A Davis; Artem Zykovich; Botao Peng; Rammohan Rao; Sean D Mooney; Kunlin Jin; David A Greenberg
Journal:  J Neurochem       Date:  2012-08-14       Impact factor: 5.372

3.  When theory meets experiment: the PD-1 challenge.

Authors:  Marawan Ahmed; Khaled Barakat
Journal:  J Mol Model       Date:  2017-10-10       Impact factor: 1.810

4.  CoESPRIT: a library-based construct screening method for identification and expression of soluble protein complexes.

Authors:  Yingfeng An; Patrick Meresse; Philippe J Mas; Darren J Hart
Journal:  PLoS One       Date:  2011-02-22       Impact factor: 3.240

5.  Integrated web visualizations for protein-protein interaction databases.

Authors:  Fleur Jeanquartier; Claire Jean-Quartier; Andreas Holzinger
Journal:  BMC Bioinformatics       Date:  2015-06-16       Impact factor: 3.169

6.  Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression.

Authors:  Hátylas Azevedo; André Fujita; Silvia Yumi Bando; Priscila Iamashita; Carlos Alberto Moreira-Filho
Journal:  PLoS One       Date:  2014-11-03       Impact factor: 3.240

Review 7.  Recent advances of protein microarrays.

Authors:  Claus Hultschig; Jürgen Kreutzberger; Harald Seitz; Zoltán Konthur; Konrad Büssow; Hans Lehrach
Journal:  Curr Opin Chem Biol       Date:  2005-12-22       Impact factor: 8.822

8.  Information Theory in Computational Biology: Where We Stand Today.

Authors:  Pritam Chanda; Eduardo Costa; Jie Hu; Shravan Sukumar; John Van Hemert; Rasna Walia
Journal:  Entropy (Basel)       Date:  2020-06-06       Impact factor: 2.524

9.  PARPs database: a LIMS systems for protein-protein interaction data mining or laboratory information management system.

Authors:  Arnaud Droit; Joanna M Hunter; Michèle Rouleau; Chantal Ethier; Aude Picard-Cloutier; David Bourgais; Guy G Poirier
Journal:  BMC Bioinformatics       Date:  2007-12-19       Impact factor: 3.169

10.  Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.

Authors:  Nurul Ain Khoruddin; Mohd NurFakhruzzaman Noorizhab; Lay Kek Teh; Farida Zuraina Mohd Yusof; Mohd Zaki Salleh
Journal:  Sci Rep       Date:  2021-08-09       Impact factor: 4.379

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