Literature DB >> 21572181

Systematic computational prediction of protein interaction networks.

J G Lees1, J K Heriche, I Morilla, J A Ranea, C A Orengo.   

Abstract

Determining the network of physical protein associations is an important first step in developing mechanistic evidence for elucidating biological pathways. Despite rapid advances in the field of high throughput experiments to determine protein interactions, the majority of associations remain unknown. Here we describe computational methods for significantly expanding protein association networks. We describe methods for integrating multiple independent sources of evidence to obtain higher quality predictions and we compare the major publicly available resources available for experimentalists to use.

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Year:  2011        PMID: 21572181     DOI: 10.1088/1478-3975/8/3/035008

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  12 in total

Review 1.  How do dynamic cellular signals travel long distances?

Authors:  Ruth Nussinov
Journal:  Mol Biosyst       Date:  2011-07-18

Review 2.  Template-based structure modeling of protein-protein interactions.

Authors:  Andras Szilagyi; Yang Zhang
Journal:  Curr Opin Struct Biol       Date:  2013-12-11       Impact factor: 6.809

3.  Identification of drug target candidates of the swine pathogen Actinobacillus pleuropneumoniae by construction of protein-protein interaction network.

Authors:  Siqi Li; Zhipeng Su; Chengjun Zhang; Zhuofei Xu; Xiaoping Chang; Jiawen Zhu; Ran Xiao; Lu Li; Rui Zhou
Journal:  Genes Genomics       Date:  2018-05-03       Impact factor: 1.839

4.  Predicting RNA-protein interactions using only sequence information.

Authors:  Usha K Muppirala; Vasant G Honavar; Drena Dobbs
Journal:  BMC Bioinformatics       Date:  2011-12-22       Impact factor: 3.169

5.  DIANA miRPath v.2.0: investigating the combinatorial effect of microRNAs in pathways.

Authors:  Ioannis S Vlachos; Nikos Kostoulas; Thanasis Vergoulis; Georgios Georgakilas; Martin Reczko; Manolis Maragkakis; Maria D Paraskevopoulou; Kostantinos Prionidis; Theodore Dalamagas; Artemis G Hatzigeorgiou
Journal:  Nucleic Acids Res       Date:  2012-05-30       Impact factor: 16.971

6.  A computational framework for boosting confidence in high-throughput protein-protein interaction datasets.

Authors:  Raghavendra Hosur; Jian Peng; Arunachalam Vinayagam; Ulrich Stelzl; Jinbo Xu; Norbert Perrimon; Jadwiga Bienkowska; Bonnie Berger
Journal:  Genome Biol       Date:  2012-08-31       Impact factor: 13.583

7.  PinSnps: structural and functional analysis of SNPs in the context of protein interaction networks.

Authors:  Hui-Chun Lu; Julián Herrera Braga; Franca Fraternali
Journal:  Bioinformatics       Date:  2016-03-24       Impact factor: 6.937

8.  FunCoup 3.0: database of genome-wide functional coupling networks.

Authors:  Thomas Schmitt; Christoph Ogris; Erik L L Sonnhammer
Journal:  Nucleic Acids Res       Date:  2013-10-31       Impact factor: 16.971

9.  Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis.

Authors:  Philipp Blohm; Goar Frishman; Pawel Smialowski; Florian Goebels; Benedikt Wachinger; Andreas Ruepp; Dmitrij Frishman
Journal:  Nucleic Acids Res       Date:  2013-11-08       Impact factor: 16.971

10.  Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression.

Authors:  Sonja Lehtinen; Jon Lees; Jürg Bähler; John Shawe-Taylor; Christine Orengo
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

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