Protein–RNA interactions play important roles in a wide variety of cellular processes, ranging from transcriptional and posttranscriptional regulation of genes to host defense against pathogens. In this chapter we present the computational approach catRAPID to predict protein–RNA interactions and discuss how it could be used to find trends in ribonucleoprotein networks. We envisage that the combination of computational and experimental approaches will be crucial to unravel the role of coding and noncoding RNAs in protein networks.

A computational approach for the discovery of protein–RNA networks / Marchese, D.; Livi, C. M.; Tartaglia, G. G.. - (2016), pp. 29-39. - METHODS IN MOLECULAR BIOLOGY. [10.1007/978-1-4939-3067-8_2].

A computational approach for the discovery of protein–RNA networks

Tartaglia G. G.
2016

Abstract

Protein–RNA interactions play important roles in a wide variety of cellular processes, ranging from transcriptional and posttranscriptional regulation of genes to host defense against pathogens. In this chapter we present the computational approach catRAPID to predict protein–RNA interactions and discuss how it could be used to find trends in ribonucleoprotein networks. We envisage that the combination of computational and experimental approaches will be crucial to unravel the role of coding and noncoding RNAs in protein networks.
2016
Methods in Molecular Biology
978-1-4939-3066-1
978-1-4939-3067-8
CatRAPID; interaction prediction; messenger RNA; noncoding RNA; protein–RNA interactions; ribonucleoprotein networks; computational biology; gene expression regulation; gene regulatory networks; RNA, long noncoding; RNA, messenger; RNA-binding proteins; ribonucleoproteins; software
02 Pubblicazione su volume::02a Capitolo o Articolo
A computational approach for the discovery of protein–RNA networks / Marchese, D.; Livi, C. M.; Tartaglia, G. G.. - (2016), pp. 29-39. - METHODS IN MOLECULAR BIOLOGY. [10.1007/978-1-4939-3067-8_2].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1451711
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