Background: Tuberculosis is a disease with high incidence and high mortality rate,
especially in Brazil. Although there are several medications available for treatment, in cases of
resistance, there is a need to use more than one medication.
Objective: Therefore, cases of toxicity increase and reports of resistance have been worrying the
population. In addition, some medications have a short period of effectiveness. To achieve the
goal, ligand-based and structure-based approaches were used.
Methods: Thus, in an attempt to discover potent inhibitors against Mycobacterium tuberculosis
enzymes, we sought to identify natural products with high therapeutic potential for the treatment of
Tuberculosis through QSAR, Molecular Modeling and ADMET studies.
Results: The results showed that the models generated from two sets of molecules with known
activity against M. tuberculosis enzymes InhA and PS were able to select 11 and 8 compounds,
respectively, between Lignans and Neolignans with 50 to 60% activity probability. In addition,
molecular docking contributed to confirm the mechanism of action of compounds and increase the
accuracy of methodologies. All molecules showed higher binding energy values for the drug
Isoniazid. We conclude that compounds 33, 34, 110, 114 and 133 are promising for InhA target
and compounds 07, 08, 19, 21, 42, 48, 75 and 141 for target PS. In addition, most molecules did
not show any toxicity according to the evaluated parameters.
Conclusion: Therefore, Lignans and Neolignans may be an alternative for the treatment of