In silico characterization and prediction of global protein-mRNA interactions in yeast.

ABSTRACT: Post-transcriptional gene regulation is mediated through complex networks of protein-RNA interactions. The targets of only a few RNA binding proteins (RBPs) are known, even in the well-characterized budding yeast. In silico prediction of protein-RNA interactions is therefore useful to guide experiments and to provide insight into regulatory networks. Computational approaches have identified RBP targets based on sequence binding preferences. We investigate here to what extent RBP-RNA interactions can be predicted based on RBP and mRNA features other than sequence motifs. We analyze global relationships between gene and protein properties in general and between selected RBPs and known mRNA targets in particular. Highly translated RBPs tend to bind to shorter transcripts, and transcripts boun

SUBMITTER: Pancaldi V 

PROVIDER: S-EPMC3152324 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature