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After decades of efforts, tuberculosis has been well controlled in most places. The
existing drugs are no longer sufficient for the treatment of drug-resistant Mycobacterium
tuberculosis due to significant toxicity and selective pressure, especially for XDR-TB. In order to
accelerate the development of high-efficiency, low-toxic antituberculosis drugs, it is particularly
important to use Computer Aided Drug Design (CADD) for rational drug design. Here, we
systematically reviewed the specific role of molecular simulation in the discovery of new
antituberculosis drugs.
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The purpose of this review is to overview current applications of molecular simulation methods in
the discovery of antituberculosis drugs. Furthermore, the unique advantages of molecular
simulation was discussed in revealing the mechanism of drug resistance.
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The comprehensive use of different molecular simulation methods will help reveal the mechanism
of drug resistance and improve the efficiency of rational drug design.
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With the help of molecular simulation methods such as QM/MM method, the mechanisms of
biochemical reactions catalyzed by enzymes at atomic level in Mycobacterium tuberculosis has
been deeply analyzed. QSAR and virtual screening both accelerate the development of highefficiency,
low-toxic potential antituberculosis drugs. Improving the accuracy of existing
algorithms and developing more efficient new methods for CADD will always be a hot topic in the
future. It is of great value to utilize molecular dynamics simulation to investigate complex systems
that cannot be studied in experiments, especially for drug resistance of Mycobacterium
tuberculosis.