Building and analyzing protein interactome networks by cross-species comparisons |
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Authors: | Amy M Wiles Mark Doderer Jianhua Ruan Ting-Ting Gu Dashnamoorthy Ravi Barron Blackman Alexander JR Bishop |
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Institution: | (1) Greehey Children's Cancer Research Institute, The University of Texas Health Science Center at San Antonio, 78229 San Antonio, TX, USA;(2) Department of Cellular and Structural Biology, The University of Texas Health Science Center at San Antonio, 78229 San Antonio, TX, USA;(3) Department of Computer Science, The University of Texas at San Antonio, 78249 San Antonio, TX, USA |
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Abstract: | Background 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. |
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Keywords: | |
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