MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122344 A) filed by Aditya Degree & Pg College, Kakinada, Andhra Pradesh, on Dec. 5, 2025, for 'ai-assisted drug discovery platform for accelerated identification of therapeutic compounds.'
Inventor(s) include K. Suresh.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-assisted drug discovery platform designed to accelerate the identification and optimization of therapeutic compounds. The system integrates machine learning (102), molecular simulation engines (104), biochemical data repositories (106), and predictive analytics modules (108) to analyze vast datasets of chemical and biological information. The platform performs automated virtual screening, binding affinity prediction, and de novo molecular generation, enabling rapid identification of novel drug candidates. A feedback optimization loop (110) continually refines the AI models based on experimental outcomes and pharmacological data, improving predictive accuracy over time. Through this architecture, the invention reduces the cost and time of traditional drug discovery workflows, enhances target specificity, and supports multi-parameter optimization for toxicity, solubility, and bioavailability. The platform can be applied across therapeutic domains including oncology, neurology, and infectious diseases."
Disclaimer: Curated by HT Syndication.
