{"title":"Deoxynojirimycin derivatives as potent α-glucosidase inhibitors: in silico ADMET evaluation, molecular dynamics and in vitro validation studies.","authors":"Fariya Khan, Suhail Ahmad, Khwaja Osama, Alvina Farooqui, Ajay Kumar, Salman Akhtar","doi":"10.1007/s11030-025-11307-2","DOIUrl":null,"url":null,"abstract":"<p><p>α-Glucosidase plays a critical role in digesting carbohydrates, leading to an increase in postprandial glucose levels, which contributes to the development and progression of diabetes. By inhibiting this enzyme, it is possible to manage postprandial hyperglycemia, thereby reducing the risk of developing or exacerbating diabetes. The primary aim of our study was to identify and evaluate potential α-glucosidase inhibitors from a series of deoxynojirimycin derivatives, using a combination of binding affinity analysis, simulation studies, and in vitro experiments. 371 deoxynojirimycin analogs were screened based on their compliance with Lipinski's Rule of Five and favorable absorption, distribution, metabolism, excretion, and toxicity (ADMET) parameters. Among these, compound MG257 (C<sub>10</sub>H<sub>21</sub>NO<sub>4</sub>) stood out due to its strong binding interactions with the active site residues of α-glucosidase, as demonstrated through virtual screening and docking studies. In our in vitro analysis, MG257 (C<sub>10</sub>H<sub>21</sub>NO<sub>4</sub>) demonstrated a notably potent α-glucosidase inhibitory activity with an IC<sub>50</sub> value of 0.44 ± 0.18 µM, surpassing the standard inhibitor miglitol, which exhibited an IC₅₀ of 0.64 ± 0.26 µM. Furthermore, molecular dynamics simulations conducted over 100 ns revealed that MG257 maintained excellent stability, further supporting its potential as a reliable inhibitor. Enzyme kinetics studies also confirmed that MG257 inhibits α-glucosidase competitively, reinforcing the findings from the molecular docking and simulation data. These comprehensive results, combining in silico and in vitro approaches, underscore the drug-likeness of MG257 and its promising pharmacokinetic profile. In conclusion, our findings suggest that MG257 (C<sub>10</sub>H<sub>21</sub>NO<sub>4</sub>) is a potent α-glucosidase inhibitor with significant potential as a novel therapeutic agent for the management of Type 2 diabetes, warranting further research and development.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Diversity","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s11030-025-11307-2","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
α-Glucosidase plays a critical role in digesting carbohydrates, leading to an increase in postprandial glucose levels, which contributes to the development and progression of diabetes. By inhibiting this enzyme, it is possible to manage postprandial hyperglycemia, thereby reducing the risk of developing or exacerbating diabetes. The primary aim of our study was to identify and evaluate potential α-glucosidase inhibitors from a series of deoxynojirimycin derivatives, using a combination of binding affinity analysis, simulation studies, and in vitro experiments. 371 deoxynojirimycin analogs were screened based on their compliance with Lipinski's Rule of Five and favorable absorption, distribution, metabolism, excretion, and toxicity (ADMET) parameters. Among these, compound MG257 (C10H21NO4) stood out due to its strong binding interactions with the active site residues of α-glucosidase, as demonstrated through virtual screening and docking studies. In our in vitro analysis, MG257 (C10H21NO4) demonstrated a notably potent α-glucosidase inhibitory activity with an IC50 value of 0.44 ± 0.18 µM, surpassing the standard inhibitor miglitol, which exhibited an IC₅₀ of 0.64 ± 0.26 µM. Furthermore, molecular dynamics simulations conducted over 100 ns revealed that MG257 maintained excellent stability, further supporting its potential as a reliable inhibitor. Enzyme kinetics studies also confirmed that MG257 inhibits α-glucosidase competitively, reinforcing the findings from the molecular docking and simulation data. These comprehensive results, combining in silico and in vitro approaches, underscore the drug-likeness of MG257 and its promising pharmacokinetic profile. In conclusion, our findings suggest that MG257 (C10H21NO4) is a potent α-glucosidase inhibitor with significant potential as a novel therapeutic agent for the management of Type 2 diabetes, warranting further research and development.
期刊介绍:
Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including:
combinatorial chemistry and parallel synthesis;
small molecule libraries;
microwave synthesis;
flow synthesis;
fluorous synthesis;
diversity oriented synthesis (DOS);
nanoreactors;
click chemistry;
multiplex technologies;
fragment- and ligand-based design;
structure/function/SAR;
computational chemistry and molecular design;
chemoinformatics;
screening techniques and screening interfaces;
analytical and purification methods;
robotics, automation and miniaturization;
targeted libraries;
display libraries;
peptides and peptoids;
proteins;
oligonucleotides;
carbohydrates;
natural diversity;
new methods of library formulation and deconvolution;
directed evolution, origin of life and recombination;
search techniques, landscapes, random chemistry and more;