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Aldose reductase (ALR2) has been implicated in the etiology of diabetic complications, including blindness. Because of the limited number of currently available drugs for the prevention of these long-term complications, the discovery of new ALR2 inhibitors appears highly desirable. In this study, a polybrominated diphenyl ether (1) naturally occurring in a marine sponge was found to inhibit recombinant human ALR2 with an IC(50) of 6.4 microM. A series of polyhalogenated analogues that were synthesized and tested in vitro to explore the structure-activity relationships displayed various degrees of inhibitory activity. The most active compounds were also capable of preventing sorbitol accumulation inside human retinal cells. In this cell-based assay, the most potent synthesized analogue (16) showed a 17-fold increase in inhibitory activity compared to that of sorbinil (IC(50) = 0.24 vs 4 microM). A molecular representation of human ALR2 in complex with the natural product was built using homology modeling, automated docking, and energy refinement methods. AMBER parameters for the halogen atoms were derived and calibrated using condensed phase molecular dynamics simulations of fluorobenzene, chlorobenzene, and bromobenzene. Inhibitor binding is proposed to cause a conformational change similar to that recently reported for zenarestat. A free energy perturbation thermodynamic cycle allowed us to assess the importance of a crucial bromine atom that distinguishes the active lead compound from a much less active close natural analogue. Remarkably, the spatial location of this bromine atom is equivalent to that occupied by the only bromine atom present in zenarestat.

Reaction of 5¢-O-tosyl TSAO-m3T (1) with amines has led to the synthesis of new classes of bi- and tricyclic nucleosides. Full details about the synthesis of these compounds and a plausible mechanism to explain their obtention are reported. In addition, we describe the development of a second, more efficient, and higher yielding synthetic route as a general approach for the synthesis of some of these bicyclic nucleosides. To study the conformational behavior of the bi- and tricyclic nucleosides described in this paper, intensive NMR investigations and molecular modeling studies were performed. Conformational analysis indicates that the furanose ring of the compounds described here prefers the eastern side of the pseudorotation cycle with the base substituents preferentially in the anti range. The torsion angle ç describing the C-4¢-C-5¢ bond is found to prefer the +sc range. These compounds represent a novel class of E-type conformationally restricted bicyclic ribonucleosides containing a [3.3.0]-fused carbohydrate moiety. The bicyclic nucleosides described herein present an interesting potential for diverse and selective chemical treatments on the 2¢-hydroxyl and/or the functionalities incorporated at the bridge between C-3¢ and C-5¢. We thank the Ministery of Education of Spain for grants to Cristina Chamorro and Marı´a-Cruz Bonache. The Spanish CICYT (Project No. SAF2000-0153-C02-01), the Comunidad de Madrid (Project No. 08.2/0044/2000 1), and the European Commission (ref QLK2-CT-2000-00291) are acknowledged for financial support. The European Commission is also acknowledged for the Rene´ Descartes-2001 Prize.

We evaluate the applicability of automated molecular docking techniques and quantum mechanical calculations to the construction of a set of structures of enzyme-substrate complexes for use in Comparative binding energy (COMBINE) analysis to obtain 3D structure-activity relationships. The data set studied consists of the complexes of eighteen substrates docked within the active site of haloalkane dehalogenase (DhlA) from Xanthobacter autotrophicus GJ10. The results of the COMBINE analysis are compared with previously reported data obtained for the same dataset from modelled complexes that were based on an experimentally determined structure of the DhlA-dichloroethane complex. The quality of fit and the internal predictive power of the two COMBINE models are comparable, but better external predictions are obtained with the new approach. Both models show a similar composition of the principal components. Small differences in the relative contributions that are assigned to important residues for explaining binding affinity differences can be directly linked to structural differences in the modelled enzyme-substrate complexes: (i) rotation of all substrates in the active site about their longitudinal axis, (ii) repositioning of the ring of epihalohydrines and the halogen substituents of 1,2-dihalopropanes, and (iii) altered conformation of the long-chain molecules (halobutanes and halohexanes). For external validation, both a novel substrate not included in the training series and two different mutant proteins were used. The results obtained can be useful in the future to guide the rational engineering of substrate specificity in DhlA and other related enzymes.

We evaluate the applicability of automated molecular docking techniques and quantum mechanical calculations to the construction of a set of structures of enzyme-substrate complexes for use in Comparative binding energy (COMBINE) analysis to obtain 3D structure-activity relationships. The data set studied consists of the complexes of eighteen substrates docked within the active site of haloalkane dehalogenase (DhlA) from Xanthobacter autotrophicus GJ10. The results of the COMBINE analysis are compared with previously reported data obtained for the same dataset from modelled complexes that were based on an experimentally determined structure of the DhlA-dichloroethane complex. The quality of fit and the internal predictive power of the two COMBINE models are comparable, but better external predictions are obtained with the new approach. Both models show a similar composition of the principal components. Small differences in the relative contributions that are assigned to important residues for explaining binding affinity differences can be directly linked to structural differences in the modelled enzyme-substrate complexes: (i) rotation of all substrates in the active site about their longitudinal axis, (ii) repositioning of the ring of epihalohydrines and the halogen substituents of 1,2-dihalopropanes, and (iii) altered conformation of the long-chain molecules (halobutanes and halohexanes). For external validation, both a novel substrate not included in the training series and two different mutant proteins were used. The results obtained can be useful in the future to guide the rational engineering of substrate specificity in DhlA and other related enzymes.

Comparative binding energy (COMBINE) analysis was conducted for 18 substrates of the haloalkane dehalogenase from Xanthobacter autotrophicusGJ10 (DhlA): 1-chlorobutane, 1-chlorohexane, dichloromethane, 1,2-dichloroethane, 1,2-dichloropropane, 2-chloroethanol, epichlorohydrine, 2-chloro- acetonitrile, 2-chloroacetamide, and their brominated analogues. The purpose of the COMBINE analysis was to identify the amino acid residues determining the substrate specificity of the haloalkane dehalogenase. This knowledge is essential for the tailoring of this enzyme for biotechnological applications. Complexes of the enzyme with these substrates were modeled and then refined by molecular mechanics energy minimization. The intermolecular enzyme-substrate energy was decomposed into residue-wise van der Waals and electrostatic contributions and complemented by surface area dependent and electrostatic desolvation terms. Partial least-squares projection to latent structures analysis was then used to establish relationships between the energy contributions and the experimental apparent dissociation constants. A model containing van der Waals and electrostatic intermolecular interaction energy contributions calculated using the AMBER force field explained 91% (73% cross-validated) of the quantitative variance in the apparent dissociation constants. A model based on van der Waals intermolecular contributions from AMBER and electrostatic interactions derived from the Poisson -Boltzmann equation explained 93% (74% cross- validated) of the quantitative variance. COMBINE models predicted correctly the change in apparent dissociation constants upon single-point mutation of DhlA for six enzyme-substrate complexes. The amino acid residues contributing most significantly to the substrate specificity of DhlA were identified; they include Asp124, Trp125, Phe164, Phe172, Trp175, Phe222, Pro223, and Leu263. These residues are suitable targets for modification by site-directed mutagenesis.