MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133539 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on Dec. 30, 2025, for 'a system and method for ai-enabled drug discovery and molecular interaction prediction.'
Inventor(s) include Chamundesswari D; Parimala K; Pavithra Amritkumar; and Annie Arockia Sheila S.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for AI-Enabled Drug Discovery and Molecular Interaction Prediction This invention concerns a system and method for AI-based drug discovery and real-time prediction of dynamic molecular interactions. The system combines graph-based molecular representation, quantum-assisted energy estimation, reinforcement-learning molecule generation, and bio-digital twin simulation to allow prediction of drug candidates in real time and optimization of molecular candidates. The method includes acquiring and pre-processing biological and chemical datasets, graph-embedding of molecular architecture, quantum-based estimation of binding energies, and simulating biological variability through the use of adaptive digital twins. A layer of explainable molecular reasoning interprets predictions with transparency at the level of features, while a federated molecular learning network securely aggregates updates of the model from research co-located across nodes. The invention provides the technical advantage of improved binding-energy predictive accuracy, reduced computational latency, improved interpretability, and secure collaborative discovery, establishing a novel, quantum-based and industry-scalable AI framework for next-generation pharmaceutical research."
Disclaimer: Curated by HT Syndication.
