Predicting protein associations with long noncoding RNAs

MATTEO BELLUCCI; FEDERICO AGOSTINI; MARIANELA MASIN; GIAN GAETANO TARTAGLIA

NATURE METHODS

NATURE PUBLISHING GROUP

Lugar: New York; Año: 2011 vol. 8 p. 444 - 445

1548-7091

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.