Design of Thymidine Analogues Targeting Thymidilate Kinase ofMycobacterium tuberculosis
Author(s) -
L. C. Owono Owono,
Mélalie Kéïta,
Eugène Megnassan,
Vladimı́r Frecer,
Stanislav Miertuš
Publication year - 2013
Publication title -
tuberculosis research and treatment
Language(s) - English
Resource type - Journals
eISSN - 2090-1518
pISSN - 2090-150X
DOI - 10.1155/2013/670836
Subject(s) - pharmacophore , stereochemistry , molecular model , quantitative structure–activity relationship , thymidine , mycobacterium tuberculosis , pyrimidine , chemistry , computational biology , biochemistry , combinatorial chemistry , biology , medicine , dna , tuberculosis , pathology
We design here new nanomolar antituberculotics, inhibitors of Mycobacterium tuberculosis thymidine monophosphate kinase (TMPK mt ), by means of structure-based molecular design. 3D models of TMPK mt -inhibitor complexes have been prepared from the crystal structure of TMPK mt cocrystallized with the natural substrate deoxythymidine monophosphate (dTMP) (1GSI) for a training set of 15 thymidine analogues (TMDs) with known activity to prepare a QSAR model of interaction establishing a correlation between the free energy of complexation and the biological activity. Subsequent validation of the predictability of the model has been performed with a 3D QSAR pharmacophore generation. The structural information derived from the model served to design new subnanomolar thymidine analogues. From molecular modeling investigations, the agreement between free energy of complexation (ΔΔ G com ) and K i values explains 94% of the TMPK mt inhibition ( pK i = −0.2924ΔΔ G com + 3.234; R 2 = 0.94) by variation of the computed ΔΔ G com and 92% for the pharmacophore (PH4) model ( pK i = 1.0206 × pK i pred − 0.0832, R 2 = 0.92). The analysis of contributions from active site residues suggested substitution at the 5-position of pyrimidine ring and various groups at the 5′-position of the ribose. The best inhibitor reached a predicted K i of 0.155 nM. The computational approach through the combined use of molecular modeling and PH4 pharmacophore is helpful in targeted drug design, providing valuable information for the synthesis and prediction of activity of novel antituberculotic agents.
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