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

被引:79
作者
Lang, Benjamin [1 ]
Armaos, Alexandros [1 ]
Tartaglia, Gian G. [1 ,2 ,3 ,4 ]
机构
[1] Barcelona Inst Sci & Technol, Ctr Genom Regulat CRG, Barcelona 08003, Spain
[2] ICREA, 23 Passeig Lluis Co, Barcelona 08010, Spain
[3] UPF, Dept Expt & Hlth Sci, Barcelona 08003, Spain
[4] Sapienza Univ Rome, Dept Biol Charles Darwin, Ple A Moro 5, I-00185 Rome, Italy
基金
欧盟地平线“2020”; 欧洲研究理事会;
关键词
QUANTITATIVE PREDICTIONS; BINDING PROTEINS; IDENTIFICATION; SITES;
D O I
10.1093/nar/gky967
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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, approximate to 1400 human proteins have experimental evidence of RNA-binding activity. However, only approximate to 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).
引用
收藏
页码:D601 / D606
页数:6
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