Discovery of compound candidates for the treatment of allergic diseases: integration of DFT analyses, molecular docking, molecular dynamics simulations, and ADMET profiling.

IF 2.7 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Velid Unsal, Erkan Oner, Reşit Yıldız, Supriyo Saha, Başak Doğru Mert, Mehmet Emrah Aksan, Abdulkerim Hatipoğlu
{"title":"Discovery of compound candidates for the treatment of allergic diseases: integration of DFT analyses, molecular docking, molecular dynamics simulations, and ADMET profiling.","authors":"Velid Unsal, Erkan Oner, Reşit Yıldız, Supriyo Saha, Başak Doğru Mert, Mehmet Emrah Aksan, Abdulkerim Hatipoğlu","doi":"10.1186/s40360-026-01104-4","DOIUrl":null,"url":null,"abstract":"<p><p>In this study, a combination of computational analyses (drug similarity, physicochemical properties, pharmacokinetic properties, molecular docking, molecular dynamics simulation, principal component analysis (PCA), free energy landscape (FEL), density functional theory (DFT), and absorption, distribution, metabolism, and excretion (ADMET) analysis) was used to evaluate the efficacy of natural compounds (aloe emodin, fisetin, vitamin D3, β-carotene, berberine, and cinnamic acid) against allergic diseases and compare them with pharmaceuticals such as cetirizine and mizolastine. Elementary molecular structures and electronic properties were determined through DFT calculations accounting for reactivity by natural bond orbital (NBO) and nonlinear optical properties (NLO) analyses. Molecular docking studies were performed on critical proteins interleukin-10 (IL-10), filaggrin, thymic stromal lymphopoietin (TSLP), and high-affinity Fc receptor for immunoglobulin E (FcεRI) to elucidate the energetics of binding and to reveal interaction mechanisms facilitated by hydrophobic and hydrogen bonds. Highlighted in molecular docking, molecular dynamics (MD) simulation analysis of beta carotene and mizolastine was performed for IL-10, TSLP, FcεRI, and filaggrin, respectively. MD simulation revealed that the beta carotene-IL-10 complex exhibited higher structural stability. MD simulation showed that both filaggrin apoprotein and the mizolastine-filaggrin complex maintained their structural stability with consistent root mean square standard deviation, root mean square fluctuation, radius of gyration, and solvent accessible surface area (SASA) values. MD simulation revealed that both TSLP apoprotein and the beta carotene-TSLP complex maintained their stable conformations. MD simulation showed that both the FcεRI apoprotein and the beta carotene-FcεRI complex achieved stable structures with consistent radius of gyration and SASA values. PCA and FEL analyses revealed ligand-induced conformational variability. Although some physicochemical properties require further development, β-carotene, exhibiting very strong protein binding, and vitamin D3, particularly displaying good integration, superior drug-like properties, low toxicity, and good binding affinity, have been identified as promising candidates for the treatment of allergic diseases. This comprehensive approach combines structural chemistry, energetics, and drug discovery to create a powerful model for the rational design of allergy medications.</p>","PeriodicalId":9023,"journal":{"name":"BMC Pharmacology & Toxicology","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13169645/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Pharmacology & Toxicology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40360-026-01104-4","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, a combination of computational analyses (drug similarity, physicochemical properties, pharmacokinetic properties, molecular docking, molecular dynamics simulation, principal component analysis (PCA), free energy landscape (FEL), density functional theory (DFT), and absorption, distribution, metabolism, and excretion (ADMET) analysis) was used to evaluate the efficacy of natural compounds (aloe emodin, fisetin, vitamin D3, β-carotene, berberine, and cinnamic acid) against allergic diseases and compare them with pharmaceuticals such as cetirizine and mizolastine. Elementary molecular structures and electronic properties were determined through DFT calculations accounting for reactivity by natural bond orbital (NBO) and nonlinear optical properties (NLO) analyses. Molecular docking studies were performed on critical proteins interleukin-10 (IL-10), filaggrin, thymic stromal lymphopoietin (TSLP), and high-affinity Fc receptor for immunoglobulin E (FcεRI) to elucidate the energetics of binding and to reveal interaction mechanisms facilitated by hydrophobic and hydrogen bonds. Highlighted in molecular docking, molecular dynamics (MD) simulation analysis of beta carotene and mizolastine was performed for IL-10, TSLP, FcεRI, and filaggrin, respectively. MD simulation revealed that the beta carotene-IL-10 complex exhibited higher structural stability. MD simulation showed that both filaggrin apoprotein and the mizolastine-filaggrin complex maintained their structural stability with consistent root mean square standard deviation, root mean square fluctuation, radius of gyration, and solvent accessible surface area (SASA) values. MD simulation revealed that both TSLP apoprotein and the beta carotene-TSLP complex maintained their stable conformations. MD simulation showed that both the FcεRI apoprotein and the beta carotene-FcεRI complex achieved stable structures with consistent radius of gyration and SASA values. PCA and FEL analyses revealed ligand-induced conformational variability. Although some physicochemical properties require further development, β-carotene, exhibiting very strong protein binding, and vitamin D3, particularly displaying good integration, superior drug-like properties, low toxicity, and good binding affinity, have been identified as promising candidates for the treatment of allergic diseases. This comprehensive approach combines structural chemistry, energetics, and drug discovery to create a powerful model for the rational design of allergy medications.

发现治疗过敏性疾病的候选化合物:DFT分析、分子对接、分子动力学模拟和ADMET分析的整合。
本研究采用计算分析(药物相似度、理化性质、药代动力学性质、分子对接、分子动力学模拟、主成分分析(PCA)、自由能景观(FEL)、密度泛函数理论(DFT)和吸收、分布、代谢和排泄(ADMET)分析)相结合的方法,对芦荟大黄素、非西汀、维生素D3、β-胡萝卜素、小檗碱、和肉桂酸)对抗过敏性疾病,并将它们与西替利嗪和咪唑斯汀等药物进行比较。根据自然键轨道(NBO)和非线性光学性质(NLO)分析的反应性,通过DFT计算确定了分子的基本结构和电子性质。对关键蛋白白介素-10 (IL-10)、聚丝蛋白、胸腺基质淋巴生成素(TSLP)和高亲和Fc受体免疫球蛋白E (FcεRI)进行分子对接研究,阐明结合的能量学,揭示疏水键和氢键促进的相互作用机制。在分子对接中,对β -胡萝卜素和咪唑斯汀分别对IL-10、TSLP、FcεRI和聚丝蛋白进行了分子动力学(MD)模拟分析。MD模拟显示β -胡萝卜素- il -10复合物具有较高的结构稳定性。MD模拟表明,聚丝蛋白载子蛋白和咪唑斯丁-聚丝蛋白复合物均保持结构稳定性,均方根标准差、均方根波动、旋转半径和溶剂可及表面积(SASA)值一致。MD模拟显示,TSLP载脂蛋白和β -胡萝卜素-TSLP复合物均保持稳定的构象。MD模拟结果表明,FcεRI载脂蛋白和β -胡萝卜素-FcεRI复合物结构稳定,具有一致的旋转半径和SASA值。PCA和FEL分析揭示了配体诱导的构象变异。虽然一些物理化学性质需要进一步开发,但β-胡萝卜素和维生素D3具有很强的蛋白质结合性,特别是表现出良好的整合性、优异的药物性质、低毒性和良好的结合亲和力,已被确定为治疗过敏性疾病的有希望的候选者。这种综合的方法结合了结构化学、能量学和药物发现,为合理设计过敏药物创造了一个强大的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
BMC Pharmacology & Toxicology
BMC Pharmacology & Toxicology PHARMACOLOGY & PHARMACYTOXICOLOGY&nb-TOXICOLOGY
CiteScore
4.80
自引率
0.00%
发文量
87
审稿时长
12 weeks
期刊介绍: BMC Pharmacology and Toxicology is an open access, peer-reviewed journal that considers articles on all aspects of chemically defined therapeutic and toxic agents. The journal welcomes submissions from all fields of experimental and clinical pharmacology including clinical trials and toxicology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书