Molecular drug susceptibility testing and strain typing of tuberculosis by DNA hybridization

Inhibition of Mycobacterium tuberculosis tRNA-Ligases Using siRNA-Based Gene Silencing Method: A Computational Approach

Tuberculosis (TB) is a major public health problem in several countries. Development of first-line and second-line drug resistance strains of Mycobacterium tuberculosis further complicated the management of the disease. Despite available drugs to treat TB, 1.6 million people died from the disease in 2017. In this study, we designed 10 siRNAs against 8 tRNA ligases of M. tuberculosis and validated their usefulness for inhibition of protein synthesis by using computational approach. We found that the predicted siRNAs efficiently form seed duplex complex against their respective mRNA targets. Other different computational approaches were also undertaken to assess the stability, accessibility, and strength of seed duplex complex of designed siRNA and targeted mRNA. On the basis of the computational approach, we reciprocated that the technique will help in opening a new window in the field of TB control program and could be taken for further clinical studies to find their appropriateness for TB eradication.