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Herein, a quantum mechanics/molecular mechanics (QM/MM) based biotransformation study was performed on synthetically feasible mutual-prodrugs of epalrestat which have been identified from an in-house database developed by us. These prodrugs were submitted to quantum polarized ligand docking (QPLD) with the CES1 enzyme followed by MM-GBSA calculation. Electronic aspects of transition state of these prodrugs were also considered to study the catalytic process through density functional theory (DFT). ADMET analysis of prodrugs was then carried out to assess the drug-likeness. On the basis of in-silico results, the best five prodrugs were synthesized and further evaluated for their neuroprotective and nephroprotective potential in high-fat diet-streptozotocin (HFD-STZ) induced diabetes in rat model. Clinically relevant molecular manifestations of diabetic complications (DC) including aldose reductase (ALR2) activity and oxidative stress markers such as reduced glutathione (GSH), catalase (CAT), and thiobarbituric acid reactive substances (TBARS) were determined in blood plasma as well as tissues of the brain and kidneys. The histopathological examination of these organs was also carried out to see the improvement in structural deformities caused due to neuropathy and nephropathy. Finally, in-vivo pharmacokinetic study was performed for the best two prodrugs to assess the improvement in biopharmaceutical attributes of parent drugs. Overall, EP-G-MFA and EP-MFA have significantly reduced the hyperglycemia-induced ALR2 activity, levels of oxidative stress markers, and manifested about a two-fold increase in the biological half-life (T 1/2 ) of parent drugs. The overall findings of this study suggest that methyl ferulate conjugated prodrugs of epalrestat may be considered as potential protective agents in diabetic neuropathy and nephropathy., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Herein, we report four series of mutual prodrugs of epalrestat by combining it with different antioxidants using glycine, beta-alanine, and phenylalanine as a linker and by directly linking them through an ester linkage. The designed prodrugs were subjected to pharmacophore and docking-based virtual screening to determine the susceptibility of these prodrugs to be hydrolyzed by human carboxylesterases (hCES1 and hCES2). Five best prodrugs from each series were further submitted to detailed mechanistic study of hCES1 and hCES2 based hydrolytic activation using quantum mechanics and molecular dynamics approach. Additionally, Verloop'ssterimol parameters (B1-B5, L) were calculated in order to investigate the steric constraint of prodrugs to the catalytic sites of hCES1 and hCES2 enzymes. Our results indicated that, among these prodrugs, EP-D4, EP-E13, EP-F5, and EP-F14 are best substrates for hCES1 while EP-G3 and EP-G15 are potential substrates for hCES2. On the other hand, EP-D19 serves as good substrates for both enzymes., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Resistance against clinically approved anticancer drugs is the main roadblock in cancer treatment. Drug metabolizing enzymes (DMEs) that are capable of metabolizing a variety of xenobiotic get overexpressed in malignant cells, therefore, catalyzing drug inactivation. As evident from the literature reports, the levels of DMEs increase in cancer cells that ultimately lead to drug inactivation followed by drug resistance. To puzzle out this issue, several strategies inclusive of analog designing, prodrug designing, and inhibitor designing have been forged. On that front, the implementation of computational tools can be considered a fascinating approach to address the problem of chemoresistance. Various research groups have adopted different molecular modeling tools for the investigation of DMEs mediated toxicity problems. However, the utilization of these in-silico tools in maneuvering the DME mediated chemoresistance is least considered and yet to be explored. These tools can be employed in the designing of such chemotherapeutic agents that are devoid of the resistance problem. The current review canvasses various molecular modeling approaches that can be implemented to address this issue. Special focus was laid on the development of specific inhibitors of DMEs. Additionally, the strategies to bypass the DMEs mediated drug metabolism were also contemplated in this report that includes analogs and pro-drugs designing. Different strategies discussed in the review will be beneficial in designing novel chemotherapeutic agents that depreciate the resistance problem. [ABSTRACT FROM AUTHOR]

Regardless of continuous research to develop effective chemotherapies and improve patient's prognosis, cancer still remains one of the most deadly diseases worldwide. The reduction in the pace of successfully developing an effective anti-cancer drug is due to the rapid emergence of drug resistance exhibited by tumor cells. One of the resistance mechanisms which is least considered and somewhat overlooked is chemoresistance via drug metabolizing enzymes (DMEs). Therefore, this review emphasizes on pharmacokinetic resistance specifically the DMEs associated chemoresistance, in which drug molecule is rapidly metabolized by DMEs resulting in diminished potential of anti-cancer drugs. The current review will be covering DMEs that are associated with chemoresistance such as ALDH1A1, GST-π, DPD, CYP1B1 and so forth. Although several strategies have been developed to solve this problem such as prodrug designing, analog designing, DMEs inhibitors designing and development of specific pharmaceutical formulations but the inhibition of DMEs is still not considered significantly. Considering the significance of DMEs in chemoresistance, this review shed light on the mechanism of DMEs associated resistance at molecular level, their reported inhibitors that can be used as an adjuvant therapy and strategies (like prodrug designing, analog designing etc.) used so far to combat this problem. [ABSTRACT FROM AUTHOR]