A genomic catalogue of protein-protein interactions is a rich source of information, particularly for exploring the relationships between proteins. Numerous systems-wide and small-scale experiments have been conducted to identify interactions; however, our knowledge of all interactions for any one species is incomplete, and alternative means to expand these network maps is needed. We therefore took a comparative biology approach to predict protein-protein interactions across five species (human, mouse, fly, worm, and yeast) and developed InterologFinder for research biologists to easily navigate this data. We also developed a confidence score for interactions based on available experimental evidence and conservation across species.
%0 Journal Article
%1 Wiles2010Building
%A Wiles, Amy M.
%A Doderer, Mark
%A Ruan, Jianhua
%A Gu, Ting-Ting
%A Ravi, Dashnamoorthy
%A Blackman, Barron
%A Bishop, Alexander J. R.
%D 2010
%I BioMed Central Ltd
%J BMC Systems Biology
%K comparative-analysis interactome protein-protein-interactions
%N 1
%P 36+
%R 10.1186/1752-0509-4-36
%T Building and analyzing protein interactome networks by cross-species comparisons
%U http://dx.doi.org/10.1186/1752-0509-4-36
%V 4
%X A genomic catalogue of protein-protein interactions is a rich source of information, particularly for exploring the relationships between proteins. Numerous systems-wide and small-scale experiments have been conducted to identify interactions; however, our knowledge of all interactions for any one species is incomplete, and alternative means to expand these network maps is needed. We therefore took a comparative biology approach to predict protein-protein interactions across five species (human, mouse, fly, worm, and yeast) and developed InterologFinder for research biologists to easily navigate this data. We also developed a confidence score for interactions based on available experimental evidence and conservation across species.
@article{Wiles2010Building,
abstract = {A genomic catalogue of protein-protein interactions is a rich source of information, particularly for exploring the relationships between proteins. Numerous systems-wide and small-scale experiments have been conducted to identify interactions; however, our knowledge of all interactions for any one species is incomplete, and alternative means to expand these network maps is needed. We therefore took a comparative biology approach to predict protein-protein interactions across five species (human, mouse, fly, worm, and yeast) and developed {InterologFinder} for research biologists to easily navigate this data. We also developed a confidence score for interactions based on available experimental evidence and conservation across species.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Wiles, Amy M. and Doderer, Mark and Ruan, Jianhua and Gu, Ting-Ting and Ravi, Dashnamoorthy and Blackman, Barron and Bishop, Alexander J. R.},
biburl = {https://www.bibsonomy.org/bibtex/2c04b7c684b60e164025e61f9721cc4a9/karthikraman},
citeulike-article-id = {6930635},
citeulike-linkout-0 = {http://dx.doi.org/10.1186/1752-0509-4-36},
citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/20353594},
citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=20353594},
day = 30,
doi = {10.1186/1752-0509-4-36},
interhash = {ecbfe437e9c9a2cfc20abd36276cbe80},
intrahash = {c04b7c684b60e164025e61f9721cc4a9},
issn = {1752-0509},
journal = {BMC Systems Biology},
keywords = {comparative-analysis interactome protein-protein-interactions},
month = mar,
number = 1,
pages = {36+},
pmid = {20353594},
posted-at = {2010-03-31 09:48:47},
priority = {2},
publisher = {BioMed Central Ltd},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Building and analyzing protein interactome networks by cross-species comparisons},
url = {http://dx.doi.org/10.1186/1752-0509-4-36},
volume = 4,
year = 2010
}