Literature DB >> 12648676

Global approaches to protein-protein interactions.

Gerard Drewes1, Tewis Bouwmeester.   

Abstract

The availability of complete, annotated genome sequences for a variety of eukaryotic organisms has paved the way for a paradigm shift in biomedical research from the 'one gene-one hypothesis' approach to more global, systematic strategies that analyse genes or proteins on a genome- and proteome-wide scale. One daunting task in the post-genome era is to determine how the complement of expressed cellular proteins - the proteome - is organised into functional, higher-order networks, by mapping all constitutive and dynamic protein-protein interactions. Traditionally, reductionist approaches have typically focused on a few, selected gene products and their interactions in a particular physiological context. In contrast, more holistic strategies aim at understanding complex biological systems, for example global protein-protein interaction networks on a cellular or organismal level. Several large-scale proteomics technologies have been developed to generate comprehensive, cellular protein-protein interaction maps.

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Substances:

Year:  2003        PMID: 12648676     DOI: 10.1016/s0955-0674(03)00005-x

Source DB:  PubMed          Journal:  Curr Opin Cell Biol        ISSN: 0955-0674            Impact factor:   8.382


  21 in total

1.  Computational approaches to protein-protein interaction.

Authors:  Giacomo Franzot; Oliviero Carugo
Journal:  J Struct Funct Genomics       Date:  2003

2.  Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.

Authors:  Guang-Hui Liu; Hong-Bin Shen; Dong-Jun Yu
Journal:  J Membr Biol       Date:  2015-11-12       Impact factor: 1.843

3.  Rapid immunoprecipitation mass spectrometry of endogenous proteins (RIME) for analysis of chromatin complexes.

Authors:  Hisham Mohammed; Christopher Taylor; Gordon D Brown; Evaggelia K Papachristou; Jason S Carroll; Clive S D'Santos
Journal:  Nat Protoc       Date:  2016-01-21       Impact factor: 13.491

4.  Intracellular protein interaction mapping with FRET hybrids.

Authors:  Xia You; Annalee W Nguyen; Abeer Jabaiah; Mark A Sheff; Kurt S Thorn; Patrick S Daugherty
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-27       Impact factor: 11.205

5.  Finding pathway-modulating genes from a novel Ontology Fingerprint-derived gene network.

Authors:  Tingting Qin; Nabil Matmati; Lam C Tsoi; Bidyut K Mohanty; Nan Gao; Jijun Tang; Andrew B Lawson; Yusuf A Hannun; W Jim Zheng
Journal:  Nucleic Acids Res       Date:  2014-07-24       Impact factor: 16.971

6.  Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PFP.

Authors:  Troy Hawkins; Meghana Chitale; Daisuke Kihara
Journal:  BMC Bioinformatics       Date:  2010-05-19       Impact factor: 3.169

7.  The Arabidopsis SOMATIC EMBRYOGENESIS RECEPTOR-LIKE KINASE1 protein complex includes BRASSINOSTEROID-INSENSITIVE1.

Authors:  Rumyana Karlova; Sjef Boeren; Eugenia Russinova; José Aker; Jacques Vervoort; Sacco de Vries
Journal:  Plant Cell       Date:  2006-02-10       Impact factor: 11.277

8.  Comparison of tertiary structures of proteins in protein-protein complexes with unbound forms suggests prevalence of allostery in signalling proteins.

Authors:  Lakshmipuram S Swapna; Swapnil Mahajan; Alexandre G de Brevern; Narayanaswamy Srinivasan
Journal:  BMC Struct Biol       Date:  2012-05-03

9.  TRIP Database: a manually curated database of protein-protein interactions for mammalian TRP channels.

Authors:  Young-Cheul Shin; Soo-Yong Shin; Insuk So; Dongseop Kwon; Ju-Hong Jeon
Journal:  Nucleic Acids Res       Date:  2010-09-17       Impact factor: 16.971

10.  The origins of the evolutionary signal used to predict protein-protein interactions.

Authors:  Lakshmipuram S Swapna; Narayanaswamy Srinivasan; David L Robertson; Simon C Lovell
Journal:  BMC Evol Biol       Date:  2012-12-06       Impact factor: 3.260

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