MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611026382 A) filed by CT University, Ludhiana, Punjab, on March 6, for 'ai system for predicting unknown impurities using stability profiles and molecular structure.'
Inventor(s) include Dr. Nitin Tandon; Dr. Satvir Singh; Touseef Ahmad Lone; Dr. Vaneet Kumar; and Dr. Gagandeep Singh.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "An artificial intelligence based unknown impurity prediction system is disclosed comprising a Molecular & Stability Input Interface (101), a Reactivity Mapping & Hotspot Generator (102), a Condition-Specific Degradation Modelling Engine (103), a Stability Signature Analysis Engine (104), a Degradation Reaction Network Generator (105), an Impurity Ranking & Classification Module (106) and a Future Impurity Projection & Curve Simulator (107). The system integrates molecular reactivity mapping, stress-specific transformation modelling, stability signature extraction, excipient interaction modelling and degradation reaction network simulation to predict novel impurity structures not previously documented. Ranked impurity candidates with ICH classification and predicted mass fragmentation patterns are generated along with time-concentration projection curves under defined storage conditions. The invention enables early prediction of unknown pharmaceutical impurities prior to physical manifestation in stability batches."
Disclaimer: Curated by HT Syndication.
