Method and system for evaluating potential drug compositions for target disease

A system for evaluating potential drug compositions for a target disease, the system comprising a processor configured to

• receive a data input to a discovery engine executable by the processor, the data input comprising information relating to investigational clinical drugs, approved drugs, and generic drugs;
• use the discovery engine to identify a first set of potential drug compositions for the target disease, wherein the discovery engine is configured to:
• analyze failed clinical assets of drugs for the target disease, wherein the discovery engine filters clinical trials which have failed due to non-drug safety related issues,
• perform differential gene expression analysis on normalized target-disease-related data acquired from omics databases,
• evaluate effect of known drugs used for diseases similar to the target disease, and
• perform a network-based analysis to identify repurposable drugs based on similar targets and indirect pathways for the target disease;
• use asset prioritization to filter the first set of potential drug compositions to determine at least one potential drug composition for the target disease;
• and
• validate the at least one potential drug composition for the target disease based on biological evidence and differential expression analysis.