Intellectual Property India Publishes Patent Application for Graph Convolutional Network System For Backbone-Based Prediction Of Amino Acid Probabilities In Protein Sequence Design

MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202621075942 A) filed by Symbiosis International Deemed University on June 18, 2026, for Graph Convolutional Network System For Backbone-Based Prediction Of Amino Acid Probabilities In Protein Sequence Design.

Inventor includes Dr. Shreyas Rajendra Hole.

The application for the patent was published on August 07, 2026, under issue no. 32/2026.

Abstract: ABSTRACT GRAPH CONVOLUTIONAL NETWORK SYSTEM FOR BACKBONE-BASED PREDICTION OF AMINO ACID PROBABILITIES IN PROTEIN SEQUENCE DESIGN The present invention discloses a graph convolutional network system (100) referred to as ProtGCN for predicting amino acid probabilities from protein backbone three-dimensi...