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Nucleic Acids Res. 2019 Jan 8;47(D1):D601-D606. doi: 10.1093/nar/gky967.

RNAct: Protein-RNA interaction predictions for model organisms with supporting experimental data.

Author information

1
Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona 08003, Spain.
2
Institució Catalana de Recerca i Estudis Avançats (ICREA), 23 Passeig Lluís Companys, Barcelona 08010, Spain.
3
Universitat Pompeu Fabra (UPF), Department of Experimental and Health Sciences, Barcelona 08003, Spain.
4
Department of Biology 'Charles Darwin', Sapienza University of Rome, P.le A. Moro 5, Rome 00185, Italy.

Abstract

Protein-RNA interactions are implicated in a number of physiological roles as well as diseases, with molecular mechanisms ranging from defects in RNA splicing, localization and translation to the formation of aggregates. Currently, ∼1400 human proteins have experimental evidence of RNA-binding activity. However, only ∼250 of these proteins currently have experimental data on their target RNAs from various sequencing-based methods such as eCLIP. To bridge this gap, we used an established, computationally expensive protein-RNA interaction prediction method, catRAPID, to populate a large database, RNAct. RNAct allows easy lookup of known and predicted interactions and enables global views of the human, mouse and yeast protein-RNA interactomes, expanding them in a genome-wide manner far beyond experimental data (http://rnact.crg.eu).

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