Computational prediction of associations between long non-coding RNAs and proteins.

ABSTRACT:

Background

Though most of the transcripts are long non-coding RNAs (lncRNAs), little is known about their functions. lncRNAs usually function through interactions with proteins, which implies the importance of identifying the binding proteins of lncRNAs in understanding the molecular mechanisms underlying the functions of lncRNAs. Only a few approaches are available for predicting interactions between lncRNAs and proteins. In this study, we introduce a new method lncPro.

Results

By encoding RNA and protein sequences into numeric vectors, we used matrix multiplication to score each RNA-protein pair. This score can be used to measure the interactions between an RNA-protein pair. This method effectively discriminates interacting and non-interacting RNA-protein pairs and predict

SUBMITTER: Lu Q 

PROVIDER: S-EPMC3827931 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature