catRAPID signature: identification of ribonucleoproteins and RNA-binding regions

Bioinformatics. 2016 Mar 1;32(5):773-5. doi: 10.1093/bioinformatics/btv629. Epub 2015 Oct 31.


Motivation: Recent technological advances revealed that an unexpected large number of proteins interact with transcripts even if the RNA-binding domains are not annotated. We introduce catRAPID signature to identify ribonucleoproteins based on physico-chemical features instead of sequence similarity searches. The algorithm, trained on human proteins and tested on model organisms, calculates the overall RNA-binding propensity followed by the prediction of RNA-binding regions. catRAPID signature outperforms other algorithms in the identification of RNA-binding proteins and detection of non-classical RNA-binding regions. Results are visualized on a webpage and can be downloaded or forwarded to catRAPID omics for predictions of RNA targets.

Availability and implementation: catRAPID signature can be accessed at

Contact: or

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

  • Algorithms
  • Humans
  • RNA
  • Ribonucleoproteins
  • Software*


  • Ribonucleoproteins
  • RNA