Prediction of QcrB Inhibition as a Measure of Antitubercular Activity with Machine Learning Protocols.

It has always been a challenge to develop interventional therapies for . Over the years, several attempts at developing such therapies have hit a dead-end owing to rapid mutation rates of the tubercular bacilli and their ability to lay dormant for years. Recently, cytochrome complex (QcrB) has shown some promise as a novel target against the tubercular bacilli, with Q203 being the first molecule acting on this target.