MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641068348 A) filed by Takshashila University on June 01, 2026, for Ai Driven Multi Omics Network Pharmacology System For Multi Target Compound Identification In Chroni.
Inventors include Sneha U; M. Vasanth Kumar; Dr. Puviyarasi K; and Dr S Ramya Bharathi.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The titled invention discloses an Al-driven multi-omics data fusion system integrating network pharmacology with predictive bioactivity scoring for identification and prioritization of multi-target therapeutic compounds associated with chronic inflammatory diseases including ankylosing spondylitis. The system comprises data acquisition (1) for collecting heterogeneous biological datasets including genomics, proteomics, metabolomics, and disease-specific biological information, data preprocessing (2) for normalization and compatibility preparation, Al-based multi- omics integration (3) for unified biological computational analysis, network pharmacology modeling (4) for interaction network construction, cytokine signaling pathway analysis (5) for disease-specific inflammatory pathway evaluation, predictive bioactivity scoring (6) for quantitative compound assessment, multi-target compound prioritization (7) for therapeutic candidate ranking, and result output & validation support (8) for validation-ready computational output generation. The integrated automated platform enables accelerated therapeutic discovery, reduced experimental burden, improved prediction accuracy, and efficient identification of disease-relevant multi-target therapeutic compounds for translational drug discovery applications.
Disclaimer: Curated by HT Syndication.
