MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641107092 A) filed by Dr. T. F. Abbs Fen Reji; Dr. Praveen Kumar P. K; Dr. K. R. Shanmugam; Dr. Meesala Guru Sekhar; Dr. Archana Patley; Dinesh Bhagwan Hanchate; Dr. P. Sivakumar; Dr. Shankar Prasad Sha; Dr. R. Menaka; and Sandeep Prakash Kale on September 05, 2026, for Artificial Intelligence-Driven Molecular Design And Chemical Discovery System.
Inventors include Dr. T. F. Abbs Fen Reji; Dr. Praveen Kumar P. K; Dr. K. R. Shanmugam; Dr. Meesala Guru Sekhar; Dr. Archana Patley; Dinesh Bhagwan Hanchate; Dr. P. Sivakumar; Dr. Shankar Prasad Sha; Dr. R. Menaka; and Sandeep Prakash Kale.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention provides an artificial intelligence-driven molecular design and chemical discovery system for computational generation, evaluation, and optimization of molecular candidates. The system receives molecular information, discovery objectives, target requirements, and molecular constraints and converts the information into machine-processable molecular representations. An artificial intelligence-based molecular generation engine generates candidate molecular structures, while a multi-property prediction engine estimates chemical, biological, physicochemical, and safety-related properties. A constraint evaluation engine evaluates chemical validity and synthesis-related requirements, and a scoring engine ranks candidates according to multiple discovery objectives. Experimental results obtained from selected candidates are subsequently received and compared with predicted properties. An optimization controller uses the resulting feedback to modify generation, prediction, scoring, or constraint parameters for subsequent discovery cycles, thereby providing an iterative computational-experimental molecular discovery workflow.
Disclaimer: Curated by HT Syndication.
