Department of Epidemiology and National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India.
Department of Immunology, National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India.
J Comput Biol. 2020 Jan;27(1):91-99. doi: 10.1089/cmb.2019.0156. Epub 2019 Aug 22.
Tuberculosis (TB) is a major public health problem in several countries. Development of first-line and second-line drug resistance strains of 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 of 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.
结核病（TB）是多个国家的一个主要公共卫生问题。一线和二线耐药菌株的出现进一步使疾病的管理复杂化。尽管有治疗结核病的药物，但 2017 年仍有 160 万人死于该病。在这项研究中，我们设计了针对 8 个 的 10 个 siRNA，并通过计算方法验证了它们在抑制蛋白质合成方面的有用性。我们发现，预测的 siRNA 能够有效地针对各自的 mRNA 靶标形成种子双链复合物。还采用了其他不同的计算方法来评估设计的 siRNA 和靶向 mRNA 的种子双链复合物的稳定性、可及性和强度。基于计算方法，我们推测该技术将有助于在结核病控制项目领域开辟一个新窗口，并可进一步进行临床研究，以确定其在消除结核病方面的适宜性。
