Computational Analysis of Anion Transporter Proteins Revealed Rv3679 and Rv2397c as Potential Drug Targets for Mycobacterium Tuberculosis

Abstract

Tuberculosis is still a serious, life-threatening disease all throughout the world. One of the greatest therapeutic challenges is the treatment of multidrugresistant tuberculosis. The prevalence of multidrug resistant tuberculosis (MDR-TB) poses a danger to the ability of conventional control strategies to stem the global TB epidemic. Drug resistance in TB is primarily a result of poor prescribing practices, noncompliance with treatment regimens, erratic drug supply, and subpar drug quality. The cell wall composition of Mycobacterium tuberculosis makes it many times less permeable to chemotherapeutic drugs, the current vaccination only provides modest protection against the disease. The cell membrane, which is made up of proteins from the ATP binding cassette family, allows Mycobacterium tuberculosis to quickly alter its cellular membrane to adapt to an unfavourable environment. A greater understanding of such transport proteins may lead to earlier detection and more effective therapeutic drug targets. A thorough computational analyses of Mycobacterium tuberculosis anion transporter proteins was conducted. Bioinformatics tools were used to predict its physiochemical properties, secondary structure, functional analysis, protein-protein interaction, subcellular localization, and molecular docking was also carried out. From the selected proteins, Rv3679 and Rv2397c exhibited best results and can be considered as potential drug targets.