MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611026379 A) filed by CT University, Ludhiana, Punjab, on March 6, for 'ai system for predicting optimal pharmaceutical salt forms using solubility profiles.'
Inventor(s) include Dr. Nitin Tandon; Dr. Satvir Singh; Dr Arvind Kumar; Dr. Vaneet Kumar; and Davinder 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 AI-driven system for predicting optimal pharmaceutical salt forms is disclosed. The system comprises a Drug Input & Molecular Data Interface (101), a Molecular Ionization & Functional Group Analyzer (102), a Counterion Knowledge & Regulatory Database (103), an AI Salt Solubility Prediction Engine (104), a Stability & Polymorph Modeling Engine (105), a Manufacturability Modeling Module (106), and a Salt Ranking & Recommendation Interface (107). The system receives molecular structure, pKa, solubility versus pH data and formulation requirements, extracts ionization profiles, selects pharmaceutically accepted counterions, simulates salt formation constant and dissolution behavior, predicts polymorph and hydrate risk, models manufacturability parameters and computes weighted multi-factor scores to rank salt candidates. The output includes recommended salt forms, predicted solubility enhancement, dissolution curve behavior, stability alerts and formulation suitability, thereby reducing experimental salt screening."
Disclaimer: Curated by HT Syndication.
