Abstract
Tuberculosis (TB) is the primary cause of mortality among infectious diseases. Mycobacterium tuberculosis monophosphate kinase (TMPKmt) is essential to DNA replication. Thus, this enzyme represents a promising target for developing new drugs against TB. In the present study, the receptor-independent, RI, 4D-QSAR method has been used to develop QSAR models and corresponding 3D-pharmacophores for a set of 81 thymidine analogues, and two corresponding subsets, reported as inhibitors of TMPKmt. The resulting optimized models are not only statistically significant with r 2 ranging from 0.83 to 0.92 and q 2 from 0.78 to 0.88, but also are robustly predictive based on test set predictions. The most and the least potent inhibitors in their respective postulated active conformations, derived from each of the models, were docked in the active site of the TMPKmt crystal structure. There is a solid consistency between the 3D-pharmacophore sites defined by the QSAR models and interactions with binding site residues. Moreover, the QSAR models provide insights regarding a probable mechanism of action of the analogues.
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Acknowledgments
The authors are grateful to the CAPES Foundation, a federal scientific agency of Brazil, for scholarship support. This work was also funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant 1 R21 GM075775. Information on Novel Preclinical Tools for Predictive ADME-Toxicology can be found at http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-04-023.html. Links to nine initiatives are found here http://nihroadmap. nih.gov/initiatives.asp. Resources of the Laboratory of Molecular Modeling and Design at UNM and The Chem21 Group, Inc. were used in performing this work.
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Andrade, C.H., Pasqualoto, K.F.M., Ferreira, E.I. et al. 3D-Pharmacophore mapping of thymidine-based inhibitors of TMPK as potential antituberculosis agents. J Comput Aided Mol Des 24, 157–172 (2010). https://doi.org/10.1007/s10822-010-9323-y
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DOI: https://doi.org/10.1007/s10822-010-9323-y