Literature DB >> 18629062

Interactome data and databases: different types of protein interaction.

Javier De Las Rivas1, Alberto de Luis.   

Abstract

In recent years, the biomolecular sciences have been driven forward by overwhelming advances in new biotechnological high-throughput experimental methods and bioinformatic genome-wide computational methods. Such breakthroughs are producing huge amounts of new data that need to be carefully analysed to obtain correct and useful scientific knowledge. One of the fields where this advance has become more intense is the study of the network of 'protein-protein interactions', i.e. the 'interactome'. In this short review we comment on the main data and databases produced in this field in last 5 years. We also present a rationalized scheme of biological definitions that will be useful for a better understanding and interpretation of 'what a protein-protein interaction is' and 'which types of protein-protein interactions are found in a living cell'. Finally, we comment on some assignments of interactome data to defined types of protein interaction and we present a new bioinformatic tool called APIN (Agile Protein Interaction Network browser), which is in development and will be applied to browsing protein interaction databases.

Entities:  

Year:  2004        PMID: 18629062      PMCID: PMC2447346          DOI: 10.1002/cfg.377

Source DB:  PubMed          Journal:  Comp Funct Genomics        ISSN: 1531-6912


  34 in total

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Journal:  Science       Date:  1999-07-30       Impact factor: 47.728

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Authors:  Arun K Ramani; Edward M Marcotte
Journal:  J Mol Biol       Date:  2003-03-14       Impact factor: 5.469

Review 4.  Function prediction and protein networks.

Authors:  Martijn A Huynen; Berend Snel; Christian von Mering; Peer Bork
Journal:  Curr Opin Cell Biol       Date:  2003-04       Impact factor: 8.382

5.  Assigning protein functions by comparative genome analysis: protein phylogenetic profiles.

Authors:  M Pellegrini; E M Marcotte; M J Thompson; D Eisenberg; T O Yeates
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-13       Impact factor: 11.205

Review 6.  Global approaches to protein-protein interactions.

Authors:  Gerard Drewes; Tewis Bouwmeester
Journal:  Curr Opin Cell Biol       Date:  2003-04       Impact factor: 8.382

7.  Conservation of gene order: a fingerprint of proteins that physically interact.

Authors:  T Dandekar; B Snel; M Huynen; P Bork
Journal:  Trends Biochem Sci       Date:  1998-09       Impact factor: 13.807

8.  Conserved clusters of functionally related genes in two bacterial genomes.

Authors:  J Tamames; G Casari; C Ouzounis; A Valencia
Journal:  J Mol Evol       Date:  1997-01       Impact factor: 2.395

9.  Correlated mutations contain information about protein-protein interaction.

Authors:  F Pazos; M Helmer-Citterich; G Ausiello; A Valencia
Journal:  J Mol Biol       Date:  1997-08-29       Impact factor: 5.469

Review 10.  Large-scale gene expression data analysis: a new challenge to computational biologists.

Authors:  M Q Zhang
Journal:  Genome Res       Date:  1999-08       Impact factor: 9.043

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  9 in total

1.  A computational tool for identifying minimotifs in protein-protein interactions and improving the accuracy of minimotif predictions.

Authors:  Sanguthevar Rajasekaran; Jerlin Camilus Merlin; Vamsi Kundeti; Tian Mi; Aaron Oommen; Jay Vyas; Izua Alaniz; Keith Chung; Farah Chowdhury; Sandeep Deverasatty; Tenisha M Irvey; David Lacambacal; Darlene Lara; Subhasree Panchangam; Viraj Rathnayake; Paula Watts; Martin R Schiller
Journal:  Proteins       Date:  2010-10-11

Review 2.  Overview: the maturing of proteomics in cardiovascular research.

Authors:  Jennifer E Van Eyk
Journal:  Circ Res       Date:  2011-02-18       Impact factor: 17.367

3.  Approaches to biomarkers in human colorectal cancer: looking back, to go forward.

Authors:  Rod K Nibbe; Mark R Chance
Journal:  Biomark Med       Date:  2009-08-01       Impact factor: 2.851

4.  Protopia: a protein-protein interaction tool.

Authors:  Alejandro Real-Chicharro; Iván Ruiz-Mostazo; Ismael Navas-Delgado; Amine Kerzazi; Othmane Chniber; Francisca Sánchez-Jiménez; Miguel Angel Medina; José F Aldana-Montes
Journal:  BMC Bioinformatics       Date:  2009-10-15       Impact factor: 3.169

5.  An extensive survey of tyrosine phosphorylation revealing new sites in human mammary epithelial cells.

Authors:  Tyler H Heibeck; Shi-Jian Ding; Lee K Opresko; Rui Zhao; Athena A Schepmoes; Feng Yang; Aleksey V Tolmachev; Matthew E Monroe; David G Camp; Richard D Smith; H Steven Wiley; Wei-Jun Qian
Journal:  J Proteome Res       Date:  2009-08       Impact factor: 4.466

6.  APID: Agile Protein Interaction DataAnalyzer.

Authors:  Carlos Prieto; Javier De Las Rivas
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

7.  The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.

Authors:  Damian Szklarczyk; John H Morris; Helen Cook; Michael Kuhn; Stefan Wyder; Milan Simonovic; Alberto Santos; Nadezhda T Doncheva; Alexander Roth; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2016-10-18       Impact factor: 16.971

8.  Chapter 4: Protein interactions and disease.

Authors:  Mileidy W Gonzalez; Maricel G Kann
Journal:  PLoS Comput Biol       Date:  2012-12-27       Impact factor: 4.475

9.  Equal opportunity for low-degree network nodes: a PageRank-based method for protein target identification in metabolic graphs.

Authors:  Dániel Bánky; Gábor Iván; Vince Grolmusz
Journal:  PLoS One       Date:  2013-01-29       Impact factor: 3.240

  9 in total

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