Tuberculosis (TB) is one of the most dreadful and deadliest diseases, killing millions annually. Its causative organism is a bacterium called Mycobacterium tuberculosis which primarily attacks the lungs. Tuberculosis can be classified as latent and active based on the presence/absence of the clinical manifestations. Also known as active TB, pulmonary TB is characterized by extreme infection, whereas in latent TB, no infection or symptom is seen. In this in silico study, we focus on the molecular docking-based virtual screening of 10 FDA-approved drugs which already used to treat bacterial infections against target methoxy mycolic acid synthase 4 (MMA4) and cyclopropane mycolic acid synthase (CmaA2). Drug-resistant TB is the most challenging factor for the design and formulation of anti-tuberculosis drugs. Mycolic acid plays a crucial role in the pathogenesis of TB and, therefore, can be an extremely valuable target. Based on a study conducted on mice, by rendering the hma genes (MMA4 and cmaA) inactive, no synthesis of mycolic acid is observed. The binding energy scores of each ligand docked against the target shows the affinity that happens against the Tuberculosis disease.