MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017450 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology, Hyderabad, Telangana, on Feb. 17, for 'chemgraphy: a graph-aware multimodal knowledge and reasoning system for molecular intelligence.'
Inventor(s) include Peddarapu Rama Krishna; Dr. Thayyaba Khatoon; Sana Inayath; Dr. D. Manju; Dr. Chander A Pawar; B. Sai Nihaal Reddy; M. Vishnu Vardhan; T. Vignesh; and D. Mahender.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "ChemGraphy is a sensor-integrated, graph-aware multimodal AI platform designed for end-to-end automated chemical characterization and early-stage drug-discovery recommendation. The system combines hardware-based chemical sensing units including spectroscopy, optical, and electrochemical sensors with a graph-enhanced multimodal intelligence engine that processes molecular graphs, spectral signatures, chemical images, and textual reaction descriptions. A dedicated embedded AI co-processing module performs on-device feature extraction, molecular fingerprinting, and fusion-transformer inference for real-time compound identification, purity assessment, reaction interpretation, and toxicity prediction. The invention further integrates a drug-discovery reasoning layer capable of predicting ligand-target interactions, ADMET properties, structural optimization strategies, and ranked drug-candidate recommendations for pharmacologists and medicinal chemists. The platform generates interpretable chemical insights by jointly analyzing sensor data and molecular graph embeddings, enabling rapid evaluation of novel compounds without relying solely on computational chemistry tools or central computing resources. ChemGraphy addresses critical challenges in chemical analysis, quality control, and drug discovery by providing a portable, hardware-accelerated, multimodal AI device capable of autonomous decision support. The system is applicable to pharmaceuticals, biotechnology, environmental monitoring, forensic science, and academic chemical research."
Disclaimer: Curated by HT Syndication.
