MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202511131764 A) filed by IIMT College of Pharmacy, Greater Noida, Uttar Pradesh, on Dec. 25, 2025, for 'ai-guided pipeline for repurposing fda-approved drugs using multi-omics graph neural networks and mechanism-constrained screening.'
Inventor(s) include Nakul Gupta; Ravi Rawat; Shweta Sharma; and Sudhir Arora.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The invention provides a computer-implemented system (100) and method for repurposing approved drugs using a mechanism-constrained multi-omics platform. The system (100) includes a data ingestion module (102), a knowledge-graph constructor (104), a constraint encoder (106), and a ranking and explanation engine (108). The method (200) includes steps of constructing a disease-centric knowledge graph (202), training a graph neural network with mechanistic constraints (204), and generating ranked drug-indication predictions with pathway-level rationales and biomarkers (206). Biological constraints include pathway directionality, causal consistency, toxicity exclusion, and drug-disease alignment. The invention enhances biological plausibility, reduces false positives, and provides explainable, translationally actionable repurposing hypotheses."
Disclaimer: Curated by HT Syndication.
