Development of a Computational Drug Discovery Pipeline for RNA Inhibitors: A Case Study with Targeting microRNA-21

RNAs, particularly non-coding RNA types are known to be involved in several cancers hijacking several cellular pathways. Drug discovery efforts in finding therapies against these RNA types is cost-ineffective and time-consuming. As an alternative, this work, involved the development of a computational drug discovery pipeline for RNA drug discovery that is cost and time efficient. This pipeline can be applied by the drug discovery community to discover novel and effective RNA-based therapies for several cancers.