MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641123960 A) filed by Vels Institute Of Science, Technology And Advanced Studies Vistas on October 16, 2026, for A System And A Method For Artificial Intelligence-Based Drug Prioritization Against Disordered Proteins.
Inventors include G. Angel; and P. Sujatha.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: Disclosed is a system (100) for artificial intelligence-based drug–protein interaction prediction and multi-objective prioritization of therapeutic drug candidates against intrinsically disordered proteins. The system (100) comprises a bioassay drug data acquisition unit (102), a drug data curation and preprocessing module (104), a molecular feature generation module (106), a deep gated feature selection module (108), and a drug feature encoding module (110). A protein sequence processing module (112), a protein structural and conformational processing module (114), a sequence–structure integration module (116), an ensemble mean–variance encoding module (118), and a protein feature encoding module (120) generate protein representations incorporating conformational variability. A drug–protein feature fusion module (122), an artificial intelligence model training and evaluation module (124), a drug–protein interaction prediction module (126), an interaction score generation module (128), and a prediction score-based drug ranking module (130) facilitate interaction prediction. Fig. 1 is the reference figure.
Disclaimer: Curated by HT Syndication.
