The human pathogen Mycobacterium tuberculosis contains three β-carbonic anhydrases (CAs, EC 4.2.1.1) in its genome. Inhibition of some of these CAs was shown to modulate the growth of M. tuberculosis. 3D-QSAR Comparative molecular field analyses (CoMFA) were carried out on inhibitors of the enzyme Rv3588c (also denominated mtCA 2). A series of sulfonamides known to inhibit mtCA 2, including some diazenylbenzenesulfonamides, was considered in our study. The predictive ability of the model was assessed using a test set of seven compounds. The best model has demonstrated a good fit having predictive r(2) value of 0.93 and cross-validated coefficient q(2) value as 0.88 in tripos CoMFA region. Our results indicate that the steric and electrostatic factors play a significant role in mtCA 2 inhibition for the investigated compounds. We proposed nine new not yet synthesized mtCA 2 inhibitors, all of them probably with significantly improved anti-Rv3588c inhibitory activity.

3D-QSAR CoMFA studies on sulfonamide inhibitors of the Rv3588c β-carbonic anhydrase from Mycobacterium tuberculosis and design of not yet synthesized new molecules / Singh, Shalini; Supuran, Claudiu T.. - In: JOURNAL OF ENZYME INHIBITION AND MEDICINAL CHEMISTRY. - ISSN 1475-6366. - STAMPA. - 29:(2014), pp. 449-455. [10.3109/14756366.2013.800059]

3D-QSAR CoMFA studies on sulfonamide inhibitors of the Rv3588c β-carbonic anhydrase from Mycobacterium tuberculosis and design of not yet synthesized new molecules

SUPURAN, CLAUDIU TRANDAFIR
2014

Abstract

The human pathogen Mycobacterium tuberculosis contains three β-carbonic anhydrases (CAs, EC 4.2.1.1) in its genome. Inhibition of some of these CAs was shown to modulate the growth of M. tuberculosis. 3D-QSAR Comparative molecular field analyses (CoMFA) were carried out on inhibitors of the enzyme Rv3588c (also denominated mtCA 2). A series of sulfonamides known to inhibit mtCA 2, including some diazenylbenzenesulfonamides, was considered in our study. The predictive ability of the model was assessed using a test set of seven compounds. The best model has demonstrated a good fit having predictive r(2) value of 0.93 and cross-validated coefficient q(2) value as 0.88 in tripos CoMFA region. Our results indicate that the steric and electrostatic factors play a significant role in mtCA 2 inhibition for the investigated compounds. We proposed nine new not yet synthesized mtCA 2 inhibitors, all of them probably with significantly improved anti-Rv3588c inhibitory activity.
2014
29
449
455
Singh, Shalini; Supuran, Claudiu T.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1010029
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