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RAIN: RNA-protein Association and Interaction Networks.

Authors :
Junge A
Refsgaard JC
Garde C
Pan X
Santos A
Alkan F
Anthon C
von Mering C
Workman CT
Jensen LJ
Gorodkin J
Source :
Database : the journal of biological databases and curation [Database (Oxford)] 2017 Jan 10; Vol. 2017. Date of Electronic Publication: 2017 Jan 10 (Print Publication: 2017).
Publication Year :
2017

Abstract

Protein association networks can be inferred from a range of resources including experimental data, literature mining and computational predictions. These types of evidence are emerging for non-coding RNAs (ncRNAs) as well. However, integration of ncRNAs into protein association networks is challenging due to data heterogeneity. Here, we present a database of ncRNA-RNA and ncRNA-protein interactions and its integration with the STRING database of protein-protein interactions. These ncRNA associations cover four organisms and have been established from curated examples, experimental data, interaction predictions and automatic literature mining. RAIN uses an integrative scoring scheme to assign a confidence score to each interaction. We demonstrate that RAIN outperforms the underlying microRNA-target predictions in inferring ncRNA interactions. RAIN can be operated through an easily accessible web interface and all interaction data can be downloaded.Database URL: http://rth.dk/resources/rain.<br /> (© The Author(s) 2017. Published by Oxford University Press.)

Details

Language :
English
ISSN :
1758-0463
Volume :
2017
Database :
MEDLINE
Journal :
Database : the journal of biological databases and curation
Publication Type :
Academic Journal
Accession number :
28077569
Full Text :
https://doi.org/10.1093/database/baw167