MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511122606 A) filed by Chandigarh University, Mohali, Punjab, on Dec. 5, 2025, for 'ai-driven fungal protein mining system for sustainable and scalable alternative nutrition.'
Inventor(s) include Nupur Aggarwal; Deepak Siwag; Bhumi Arya; Ravi Raj; Nabanita Barman; and Samir Kumar.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-driven fungal protein mining system and method designed to accelerate the discovery, optimisation, and production of sustainable alternative proteins. The system integrates genomic data acquisition, machine learning-based prediction, generative protein design, and digital fermentation simulation to identify and optimise fungal strains with superior nutritional, safety, and functional profiles. By virtually analysing and predicting protein yield, digestibility, and allergenicity before cultivation, the invention minimises research time, cost, and environmental impact. A feedback learning mechanism continuously refines predictive accuracy through real-world fermentation results. The invention provides a scalable, resource-efficient, and data-driven approach for generating high-quality fungal proteins applicable to human nutrition, nutraceuticals, pharmaceuticals, animal feed, and bio-industrial formulations thereby addressing global food security and sustainability challenges."
Disclaimer: Curated by HT Syndication.
