Literature DB >> 20851835

Protein-protein interaction and pathway databases, a graphical review.

Tomas Klingström1, Dariusz Plewczynski.   

Abstract

The amount of information regarding protein-protein interactions (PPI) at a proteomic scale is constantly increasing. This is paralleled with an increase of databases making information available. Consequently there are diverse ways of delivering information about not only PPIs but also regarding the databases themselves. This creates a time consuming obstacle for many researchers working in the field. Our survey provides a valuable tool for researchers to reduce the time necessary to gain a broad overview of PPI-databases and is supported by a graphical representation of data exchange. The graphical representation is made available in cooperation with the team maintaining www.pathguide.org and can be accessed at http://www.pathguide.org/interactions.php in a new Cytoscape web implementation. The local copy of Cytoscape cys file can be downloaded from http://bio.icm.edu.pl/~darman/ppi web page.

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Year:  2010        PMID: 20851835     DOI: 10.1093/bib/bbq064

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


  19 in total

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Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

2.  Development of bimolecular fluorescence complementation using rsEGFP2 for detection and super-resolution imaging of protein-protein interactions in live cells.

Authors:  Sheng Wang; Miao Ding; Xuanze Chen; Lei Chang; Yujie Sun
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3.  OmniPath: guidelines and gateway for literature-curated signaling pathway resources.

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Review 4.  A network perspective on unraveling the role of TRP channels in biology and disease.

Authors:  Jung Nyeo Chun; Jin Muk Lim; Young Kang; Eung Hee Kim; Young-Cheul Shin; Hong-Gee Kim; Dayk Jang; Dongseop Kwon; Soo-Yong Shin; Insuk So; Ju-Hong Jeon
Journal:  Pflugers Arch       Date:  2013-05-16       Impact factor: 3.657

5.  Circadian modulation of the cardiac proteome underpins differential adaptation to morning and evening exercise training: an LC-MS/MS analysis.

Authors:  Dae Yun Seo; Chang Shin Yoon; Louise Anne Dizon; Sung Ryul Lee; Jae Boum Youm; Won Suk Yang; Hyo-Bum Kwak; Tae Hee Ko; Hyoung Kyu Kim; Jin Han; Robin A McGregor
Journal:  Pflugers Arch       Date:  2020-02-06       Impact factor: 3.657

6.  Swimming upstream: identifying proteomic signals that drive transcriptional changes using the interactome and multiple "-omics" datasets.

Authors:  Shao-shan Carol Huang; Ernest Fraenkel
Journal:  Methods Cell Biol       Date:  2012       Impact factor: 1.441

7.  Interpretation of network-based integration from multi-omics longitudinal data.

Authors:  Antoine Bodein; Marie-Pier Scott-Boyer; Olivier Perin; Kim-Anh Lê Cao; Arnaud Droit
Journal:  Nucleic Acids Res       Date:  2022-03-21       Impact factor: 16.971

8.  Proteins interaction network and modeling of IGVH mutational status in chronic lymphocytic leukemia.

Authors:  María Camila Álvarez-Silva; Sally Yepes; Maria Mercedes Torres; Andrés Fernando González Barrios
Journal:  Theor Biol Med Model       Date:  2015-06-20       Impact factor: 2.432

9.  Global multiple protein-protein interaction network alignment by combining pairwise network alignments.

Authors:  Jakob Dohrmann; Juris Puchin; Rahul Singh
Journal:  BMC Bioinformatics       Date:  2015-09-25       Impact factor: 3.169

10.  NeuroDNet - an open source platform for constructing and analyzing neurodegenerative disease networks.

Authors:  Suhas V Vasaikar; Aditya K Padhi; Bhyravabhotla Jayaram; James Gomes
Journal:  BMC Neurosci       Date:  2013-01-03       Impact factor: 3.288

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