In silico Comparative Study of the Anti-Cancer Potential of Inhibitors of Glucose-6-Phosphate Dehydrogenase Enzyme Using ADMET Analysis, Molecular Docking, and Molecular Dynamic Simulation
{"title":"In silico Comparative Study of the Anti-Cancer Potential of Inhibitors of Glucose-6-Phosphate Dehydrogenase Enzyme Using ADMET Analysis, Molecular Docking, and Molecular Dynamic Simulation","authors":"Cromwel Tepap Zemnou","doi":"10.1002/adts.202400757","DOIUrl":null,"url":null,"abstract":"Cancer is marked by the rapid, unregulated growth and division of abnormal cells, often overwhelming healthy cells and compromising normal function. Given the limitations of current therapies, there is an urgent demand for novel drugs. The enzyme glucose-6-phosphate dehydrogenase (G6PD), essential to the pentose phosphate pathway (PPP) and frequently associated with cancer cell metabolism, presents a promising target for cancer treatment. However, no G6PD inhibitor is yet validated as an approved drug. This study focuses on the in silico assessment and comparative analysis of the anticancer potential of five G6PD inhibitors: glucose-6-phosphate dehydrogenase inhibitor 1 (G6PDi1), 3alpha,21-Dihydroxy-5alpha-pregnant-20-one (THDOC), dehydroepiandrosterone (DHEA), 6-aminonicotinamide (6-AN), and polydatin (PD). Molecular docking results show that G6PDi1 exhibits the highest binding affinity (−8.65 kcal mol<sup>−1</sup>) among the inhibitors tested. ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) pharmacokinetics, and biological activity assessments identified PD, THDOC, and G6PDi1 as the most promising G6PD inhibitors. Furthermore, a 100 ns molecular dynamics (MD) simulation combined with Molecular Mechanics/Poisson-Boltzmann surface (MM-PBSA) post-simulation analysis indicated stability and compactness for all compounds, with no significant deviations observed throughout the simulation period. These findings suggest THDOC and G6PDi1 as potential candidates for developing effective cancer therapeutics targeting G6PD.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"6 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Theory and Simulations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/adts.202400757","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Cancer is marked by the rapid, unregulated growth and division of abnormal cells, often overwhelming healthy cells and compromising normal function. Given the limitations of current therapies, there is an urgent demand for novel drugs. The enzyme glucose-6-phosphate dehydrogenase (G6PD), essential to the pentose phosphate pathway (PPP) and frequently associated with cancer cell metabolism, presents a promising target for cancer treatment. However, no G6PD inhibitor is yet validated as an approved drug. This study focuses on the in silico assessment and comparative analysis of the anticancer potential of five G6PD inhibitors: glucose-6-phosphate dehydrogenase inhibitor 1 (G6PDi1), 3alpha,21-Dihydroxy-5alpha-pregnant-20-one (THDOC), dehydroepiandrosterone (DHEA), 6-aminonicotinamide (6-AN), and polydatin (PD). Molecular docking results show that G6PDi1 exhibits the highest binding affinity (−8.65 kcal mol−1) among the inhibitors tested. ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) pharmacokinetics, and biological activity assessments identified PD, THDOC, and G6PDi1 as the most promising G6PD inhibitors. Furthermore, a 100 ns molecular dynamics (MD) simulation combined with Molecular Mechanics/Poisson-Boltzmann surface (MM-PBSA) post-simulation analysis indicated stability and compactness for all compounds, with no significant deviations observed throughout the simulation period. These findings suggest THDOC and G6PDi1 as potential candidates for developing effective cancer therapeutics targeting G6PD.
期刊介绍:
Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including:
materials, chemistry, condensed matter physics
engineering, energy
life science, biology, medicine
atmospheric/environmental science, climate science
planetary science, astronomy, cosmology
method development, numerical methods, statistics