MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641048561 A) filed by Prathyusha Engineering College on April 16, 2026, for A Computer Implemented Bioinformatics Workflow For Predicting Drug Resistance In Mycobacterium Tuber.
Inventors include Dr. P. Dhasarathan; and J. Jerin Joshna.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Tuberculosis (TB) continues to be a major global health concern, with the emergence of drug- resistant strains presenting a severe challenge to effective disease control. Conventional drug resistance testing methods, including culture-based assays and molecular diagnostics, are either time-consuming, expensive, or limited in their detection capabilities. To address these limitations, this work proposes a computer-implemented bioinformatics workflow for the prediction of drug resistance in Mycobacterium tuberculosis using low-cost sequencing data. The system integrates multiple computational modules—comprising data preprocessing, quality control, genome mapping, variant calling, mutation-to-drug association, machine learning-based resistance prediction, and automated reporting—within a unified framework. Optimized for resource-limited environments and compatible with cost-effective sequencing platforms such as Oxford Nanopore MinlON or targeted sequencing kits, the workflow delivers rapid and accurate resistance profiling without the need for high-end laboratory infrastructure. The innovation lies in its end-to-end automation, low computational footprint, and adaptability to field conditions, offering a scalable, affordable, and deployable solution for TB drug resistance screening, particularly in developing regions.
Disclaimer: Curated by HT Syndication.
