Paper Info
Title
Combining interactomes from multiple organisms: A case study on human-mouse
Abstract
The amount and quality of available data on different organisms varies greatly. While model organisms benefit from extensive experimental studies, there is often a lack of detailed experimental data for more specific organisms. Additionally, even among model organisms there are noticeable differences in the amount and type of data available, due to the different suitability of experiments in different organisms. The combination of interactomes for closely related species, represents a viable tool to increase the amount of protein-protein interaction data for a given organism. The Human-Mouse case of study is particularly relevant, as many experiments cannot be carried out on humans. This paper describes a general method to construct a combined interactome from different organisms. The construction is achieved through the integration of data from different sources and formats, including gene-protein relations, protein homology classes and protein-protein interactions. We show that the Human-Mouse combined interactome increase the mouse gene coverage by over 150% and the interaction coverage by over 430%. We also provide a novel mathematical formalisation for the interactome combination.
Year
DOI
Venue
2016
10.1109/CLEI.2016.7833324
2016 XLII Latin American Computing Conference (CLEI)
Keywords
Field
DocType
interactomes,multiple organisms,human-mouse,data quality,protein-protein interaction data,mathematical formalisation
Data mining,Interactome,Gene,Experimental data,Biology,Homology (biology),Computational biology,Model organism,Organism
Conference
ISSN
ISBN
Citations 
2381-1609
978-1-5090-1634-1
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Juan J. Caceres100.34
Alberto Paccanaro220624.14