Cargando…
catRAPID omics v2.0: going deeper and wider in the prediction of protein–RNA interactions
Prediction of protein–RNA interactions is important to understand post-transcriptional events taking place in the cell. Here we introduce catRAPID omics v2.0, an update of our web server dedicated to the computation of protein–RNA interaction propensities at the transcriptome- and RNA-binding proteo...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262727/ https://www.ncbi.nlm.nih.gov/pubmed/34086933 http://dx.doi.org/10.1093/nar/gkab393 |
_version_ | 1783719240435499008 |
---|---|
author | Armaos, Alexandros Colantoni, Alessio Proietti, Gabriele Rupert, Jakob Tartaglia, Gian Gaetano |
author_facet | Armaos, Alexandros Colantoni, Alessio Proietti, Gabriele Rupert, Jakob Tartaglia, Gian Gaetano |
author_sort | Armaos, Alexandros |
collection | PubMed |
description | Prediction of protein–RNA interactions is important to understand post-transcriptional events taking place in the cell. Here we introduce catRAPID omics v2.0, an update of our web server dedicated to the computation of protein–RNA interaction propensities at the transcriptome- and RNA-binding proteome-level in 8 model organisms. The server accepts multiple input protein or RNA sequences and computes their catRAPID interaction scores on updated precompiled libraries. Additionally, it is now possible to predict the interactions between a custom protein set and a custom RNA set. Considerable effort has been put into the generation of a new database of RNA-binding motifs that are searched within the predicted RNA targets of proteins. In this update, the sequence fragmentation scheme of the catRAPID fragment module has been included, which allows the server to handle long linear RNAs and to analyse circular RNAs. For the top-scoring protein–RNA pairs, the web server shows the predicted binding sites in both protein and RNA sequences and reports whether the predicted interactions are conserved in orthologous protein–RNA pairs. The catRAPID omics v2.0 web server is a powerful tool for the characterization and classification of RNA-protein interactions and is freely available at http://service.tartaglialab.com/page/catrapid_omics2_group along with documentation and tutorial. |
format | Online Article Text |
id | pubmed-8262727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82627272021-07-08 catRAPID omics v2.0: going deeper and wider in the prediction of protein–RNA interactions Armaos, Alexandros Colantoni, Alessio Proietti, Gabriele Rupert, Jakob Tartaglia, Gian Gaetano Nucleic Acids Res Web Server Issue Prediction of protein–RNA interactions is important to understand post-transcriptional events taking place in the cell. Here we introduce catRAPID omics v2.0, an update of our web server dedicated to the computation of protein–RNA interaction propensities at the transcriptome- and RNA-binding proteome-level in 8 model organisms. The server accepts multiple input protein or RNA sequences and computes their catRAPID interaction scores on updated precompiled libraries. Additionally, it is now possible to predict the interactions between a custom protein set and a custom RNA set. Considerable effort has been put into the generation of a new database of RNA-binding motifs that are searched within the predicted RNA targets of proteins. In this update, the sequence fragmentation scheme of the catRAPID fragment module has been included, which allows the server to handle long linear RNAs and to analyse circular RNAs. For the top-scoring protein–RNA pairs, the web server shows the predicted binding sites in both protein and RNA sequences and reports whether the predicted interactions are conserved in orthologous protein–RNA pairs. The catRAPID omics v2.0 web server is a powerful tool for the characterization and classification of RNA-protein interactions and is freely available at http://service.tartaglialab.com/page/catrapid_omics2_group along with documentation and tutorial. Oxford University Press 2021-06-04 /pmc/articles/PMC8262727/ /pubmed/34086933 http://dx.doi.org/10.1093/nar/gkab393 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Armaos, Alexandros Colantoni, Alessio Proietti, Gabriele Rupert, Jakob Tartaglia, Gian Gaetano catRAPID omics v2.0: going deeper and wider in the prediction of protein–RNA interactions |
title |
catRAPID omics v2.0: going deeper and wider in the prediction of protein–RNA interactions |
title_full |
catRAPID omics v2.0: going deeper and wider in the prediction of protein–RNA interactions |
title_fullStr |
catRAPID omics v2.0: going deeper and wider in the prediction of protein–RNA interactions |
title_full_unstemmed |
catRAPID omics v2.0: going deeper and wider in the prediction of protein–RNA interactions |
title_short |
catRAPID omics v2.0: going deeper and wider in the prediction of protein–RNA interactions |
title_sort | catrapid omics v2.0: going deeper and wider in the prediction of protein–rna interactions |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262727/ https://www.ncbi.nlm.nih.gov/pubmed/34086933 http://dx.doi.org/10.1093/nar/gkab393 |
work_keys_str_mv | AT armaosalexandros catrapidomicsv20goingdeeperandwiderinthepredictionofproteinrnainteractions AT colantonialessio catrapidomicsv20goingdeeperandwiderinthepredictionofproteinrnainteractions AT proiettigabriele catrapidomicsv20goingdeeperandwiderinthepredictionofproteinrnainteractions AT rupertjakob catrapidomicsv20goingdeeperandwiderinthepredictionofproteinrnainteractions AT tartagliagiangaetano catrapidomicsv20goingdeeperandwiderinthepredictionofproteinrnainteractions |