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Merging the binding sites of aldose and aldehyde reductase for detection of inhibitor selectivity-determining features.

Abstract : Inhibition of human aldose reductase (ALR2) evolved as a promising therapeutic concept to prevent late complications of diabetes. As well as appropriate affinity and bioavailability, putative inhibitors should possess a high level of selectivity for ALR2 over the related aldehyde reductase (ALR1). We investigated the selectivity-determining features by gradually mapping the residues deviating between the binding pockets of ALR1 and ALR2 into the ALR2 binding pocket. The resulting mutational constructs of ALR2 (eight point mutations and one double mutant) were probed for their influence towards ligand selectivity by X-ray structure analysis of the corresponding complexes and isothermal titration calorimetry (ITC). The binding properties of these mutants were evaluated using a ligand set of zopolrestat, a related uracil derivative, IDD388, IDD393, sorbinil, fidarestat and tolrestat. Our study revealed induced-fit adaptations within the mutated binding site as an essential prerequisite for ligand accommodation related to the selectivity discrimination of the ligands. However, our study also highlights the limits of the present understanding of protein-ligand interactions. Interestingly, binding site mutations not involved in any direct interaction to the ligands in various cases show significant effects towards their binding thermodynamics. Furthermore, our results suggest the binding site residues deviating between ALR1 and ALR2 influence ligand affinity in a complex interplay, presumably involving changes of dynamic properties and differences of the solvation/desolvation balance upon ligand binding.
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Submitted on : Wednesday, August 13, 2008 - 3:20:43 PM
Last modification on : Wednesday, March 9, 2022 - 3:12:02 PM

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Holger Steuber, Andreas Heine, Alberto D. Podjarny, Gerhard Klebe. Merging the binding sites of aldose and aldehyde reductase for detection of inhibitor selectivity-determining features.. Journal of Molecular Biology, Elsevier, 2008, 379 (5), pp.991-1016. ⟨10.1016/j.jmb.2008.03.063⟩. ⟨inserm-00311227⟩



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