Unnatural amino acid compounds as potent multi-target inhibitors of aldose reductase, α-glucosidase, and α-amylase: integrated in vitro, SAR, and molecular dynamics insights

Gerni S., Ozturk C., BAYRAK S., Demir Y., ATMACA U., Milenkovic D., ...Daha Fazla

NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY, 2026 (SCI-Expanded, Scopus) identifier identifier

Özet

Diabetes mellitus is a multifactorial metabolic disorder in which sustained post-prandial hyperglycaemia and aberrant activation of the polyol pathway contribute to disease progression and long-term complications. Simultaneous modulation of digestive enzymes and aldose reductase (ALR2) therefore represents a rational multitarget therapeutic strategy. In this study, a series of previously reported aryl-substituted unnatural N-methoxysulfonyl beta-ketoester derivatives were investigated for their inhibitory potential against ALR2, alpha-glucosidase, and alpha-amylase. Compound 1i exhibited the strongest ALR2 inhibition with Ki :0.493 +/- 0.155 & micro;M and IC50: 1.638 +/- 0.44 & micro;M. For alpha-glucosidase, compound 1h showed the highest potency (Ki :1.341 +/- 0.181 & micro;M), while compound 1j demonstrated strong alpha-amylase inhibition (IC50: 1.361 +/- 0.26 & micro;M). The compounds were evaluated through in vitro enzyme inhibition assays supported by comprehensive structure-activity relationship (SAR) analysis. Several derivatives displayed pronounced inhibitory activity, achieving sub-micromolar Ki values against ALR2 and low-micromolar inhibition of alpha-glucosidase and alpha-amylase, in some cases surpassing reference inhibitors. SAR analysis revealed that ALR2 inhibition is strongly governed by planar aromatic expansion and conformational rigidity, whereas alpha-glucosidase and alpha-amylase preferentially accommodate compact, hydrophobically enriched substituents, highlighting distinct steric and electronic requirements across targets. A strong correlation was observed between experimental and docking-derived Ki values, supporting the consistency of the computational protocol. Subsequent 100 ns molecular dynamics simulations confirmed the stability of the most active ligand-enzyme complexes under physiological conditions. Overall, this integrated experimental and computational evaluation identifies unnatural N-methoxysulfonyl beta-ketoester derivatives as promising multitarget antidiabetic lead scaffolds.