MAVEN: compound mechanism of action analysis and visualisation using transcriptomics and compound structure data in R/Shiny.

ABSTRACT:

Background

Understanding the Mechanism of Action (MoA) of a compound is an often challenging but equally crucial aspect of drug discovery that can help improve both its efficacy and safety. Computational methods to aid MoA elucidation usually either aim to predict direct drug targets, or attempt to understand modulated downstream pathways or signalling proteins. Such methods usually require extensive coding experience and results are often optimised for further computational processing, making them difficult for wet-lab scientists to perform, interpret and draw hypotheses from.

Results

To address this issue, we in this work present MAVEN (Mechanism of Action Visualisation and Enrichment), an R/Shiny app which allows for GUI-based prediction of drug targets based on chemical

SUBMITTER: Hosseini-Gerami L 

PROVIDER: S-EPMC10502988 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature