In Silico Phytochemicals Screening for Tuberculosis


 Tuberculosis (TB) is a highly contagious disease, and the increased mortality rate continues to be cause for concern. Although anti-tuberculosis drugs are available, it still affects mankind, causing millions of deaths each year. By integrating biological data on gene sequences, expressions, protein structures, drug target prioritization. The number cheminformatics databases small molecules tools assist discovery has also grown. Many researchers investigating potential medication therapies that could in this battle along with medical care system throughout world. We present docking?based screening using quantum mechanical scoring library built from approved compounds Bergenin, Laccaic acid, Swertiamarin, Magnolol, Curcumin, Emodin, Pasakbumin A, Umckalin, Plumbagin, Maritinone, Tetrahydro3,3?-biplumbagin epigallocatechin Proteins PDB id’s 4W4I, 3Q0V display antiviral activity against Tuberculosis. Ideally, these should undergo experimental assays clinical trials verify their effectiveness disease. hope findings may contribute rational design Tuberculosis.