Only a small fraction of the human transcriptome (∼1%) encodes proteins, but a large portion of transcripts is long noncoding RNAs (lncRNAs) and is an unexplored component of mammalian genomes. Here we introduce a method to perform large-scale predictions of protein-RNA associations. Our algorithm, ‘fast predictions of RNA and protein interactions and domains at the Center for Genomic Regulation, Barcelona, Catalonia’ (catRAPID), evaluates the interaction propensities of polypeptide and nucleotide chains using their physicochemical properties. The algorithm is freely available at http://big.crg.cat/ gene_function_and_evolution/services/catrapid.
Predicting protein associations with long noncoding RNAs / Bellucci, M.; Agostini, F.; Masin, M.; Tartaglia, G. G.. - In: NATURE METHODS. - ISSN 1548-7091. - 8:6(2011), pp. 444-445. [10.1038/nmeth.1611]
Predicting protein associations with long noncoding RNAs
Tartaglia, G. G.
2011
Abstract
Only a small fraction of the human transcriptome (∼1%) encodes proteins, but a large portion of transcripts is long noncoding RNAs (lncRNAs) and is an unexplored component of mammalian genomes. Here we introduce a method to perform large-scale predictions of protein-RNA associations. Our algorithm, ‘fast predictions of RNA and protein interactions and domains at the Center for Genomic Regulation, Barcelona, Catalonia’ (catRAPID), evaluates the interaction propensities of polypeptide and nucleotide chains using their physicochemical properties. The algorithm is freely available at http://big.crg.cat/ gene_function_and_evolution/services/catrapid.File | Dimensione | Formato | |
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