Maurício Boff de Ávila, Gabriela Bitencourt-Ferreira and Walter Filgueira de Azevedo* Pages 745 - 759 ( 15 )
Background: The enzyme trans-enoyl-[acyl carrier protein] reductase (InhA) is a central protein for the development of antitubercular drugs. This enzyme is the target for the pro-drug isoniazid, which is catalyzed by the enzyme catalase-peroxidase (KatG) to become active.
Objective: Our goal here is to review the studies on InhA, starting with general aspects and focusing on the recent structural studies, with emphasis on the crystallographic structures of complexes involving InhA and inhibitors.
Method: We start with a literature review, and then we describe recent studies on InhA crystallographic structures. We use this structural information to depict protein-ligand interactions. We also analyze the structural basis for inhibition of InhA. Furthermore, we describe the application of computational methods to predict binding affinity based on the crystallographic position of the ligands.
Results: Analysis of the structures in complex with inhibitors revealed the critical residues responsible for the specificity against InhA. Most of the intermolecular interactions involve the hydrophobic residues with two exceptions, the residues Ser 94 and Tyr 158. Examination of the interactions has shown that many of the key residues for inhibitor binding were found in mutations of the InhA gene in the isoniazid-resistant Mycobacterium tuberculosis. Computational prediction of the binding affinity for InhA has indicated a moderate uphill relationship with experimental values.
Conclusion: Analysis of the structures involving InhA inhibitors shows that small modifications on these molecules could modulate their inhibition, which may be used to design novel antitubercular drugs specific for multidrug-resistant strains.
Crystal structure, protein-ligand interactions, trans-enoyl-[acyl carrier protein] reductase, drug design, InhA inhibitors, enzymes.
Laboratory of Computational Systems Biology, School of Sciences - Pontifical Catholic University of Rio, Grande do Sul (PUCRS), Av. Ipiranga, 6681, Porto Alegre-RS 90619-900, Laboratory of Computational Systems Biology, School of Sciences - Pontifical Catholic University of Rio, Grande do Sul (PUCRS), Av. Ipiranga, 6681, Porto Alegre-RS 90619-900, Laboratory of Computational Systems Biology, School of Sciences - Pontifical Catholic University of Rio, Grande do Sul (PUCRS), Av. Ipiranga, 6681, Porto Alegre-RS 90619-900