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Study by Molecular Docking of the Interactions between Dihydroorotate Dehydrogenase and a Series of Inhibitors of Pyrrole Derivatives for the treatment of Malaria

Niaré Adama, Attia Yapo John Alex, Djako Akassa Marius Bernard, Kambiré Sobamfou Marius, Dembélé Georges Stéphane, Kouadio Assandé Moise, Koné Mamadou Guy-Richard, Yves Kily Hervé Fagnidi, Soro Doh

Asian Journal of Chemical Sciences · pp. 92–110 · Published 11 Feb 2025

10.9734/ajocs/2025/v15i1352

Abstract

Malaria, although a curable disease, continues to be the most important infectious disease in terms of incidence and mortality worldwide. It is a potentially fatal disease caused by parasites transmitted to people through the bites of infected female Anopheles mosquitoes. This disease affects more than 216 million people and kills a million, mainly children and pregnant women. Anti-malaria therapy finds itself confronted with drug-resistant strains, hence the urgency of finding new targets and new anti-infectious agents. Dihydroorotate dehydrogenase (DHODH) is an essential enzyme for the design of new antimalarial drugs. Using a Computer Aided Molecular Design (CAMD) reaction approach, a series of 17 molecules from the pyrrole family, inhibitors of (DHODH) was designed within the protein (PDB code: 6VTN). These molecules with known \(IC_{50}\) were selected to build an RQSAR model presenting a linear correlation between the Gibbs energy (∆∆G), the complexes formed and the experimental inhibition potential (\(pIC_{50}^{exp}\))  : \(pIC_{50}^{exp}\) = - 0.2909 × ∆∆G + 7.7715 ; R2 = 0,97. we subsequently carried out a study on the catalytic residues (interaction by residue)  in order to exploit the different interactions (enzyme: inhibitor).The predictive power of the QSAR model was validated by the generation of 3D-QSAR pharmacophores (PH4): \(pIC_{50}^{exp}\) = 0.9939 x \(pIC_{50}^{est}\) + 0.0421 ; R2 = 0.92. 

QSAR model pharmacophore model molecular docking molecular modeling dihydroorotate dehydrogenase pyrrole family

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