吡罗西康过渡金属配合物(Mn, Fe, Co, Ni和Zn)的综合DFT研究:对计算药物设计的影响

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Riaz Maira, Muhammad Azam, Ahmed Irfan, Muhammad Asim Raza Basra
{"title":"吡罗西康过渡金属配合物(Mn, Fe, Co, Ni和Zn)的综合DFT研究:对计算药物设计的影响","authors":"Riaz Maira,&nbsp;Muhammad Azam,&nbsp;Ahmed Irfan,&nbsp;Muhammad Asim Raza Basra","doi":"10.1007/s00894-025-06483-9","DOIUrl":null,"url":null,"abstract":"<p>Computational approaches are instrumental in understanding the structural and electronic characteristics of drug metal complexes, thereby facilitating the rational deign of more effective pharmaceutical agents prior to experimental validation. The present work was designed to evaluate the drug-likeness and therapeutic potential, bioavailability, pharmacokinetics, and toxicity characteristics of piroxicam transition metal (Mn, Fe, Co, Ni, and Zn). Additionally, the comprehensive structural, electronic, and solvent-dependent behavior were investigated through theoretical analysis, with particular emphasis geometry optimizations and stabilization effects explored in solvents such as water, ethanol, and DMSO. Among the studied systems, the Co and Ni-piroxicam complexes exhibited the highest stabilization energy. HOMO–LUMO energy gaps and molecular electrostatic potential (MEP) maps indicate enhanced charge transfer characteristics, helping to identify reactive electrophilic and nucleophilic sites. These findings underscore the significant influence of solvent polarity and metal ion size on the physicochemical properties and potential bioavailability of metal drug complexes. The ADMET assessment also proved the safety profile coupled with no predicted toxicity, offering meaningful insights for rational drug design.</p><p>ADMET analysis was carried out using the ADMETlab 3.0 online web server to predict, pharmacokinetic behavior, and various toxicity aspects. Furthermore, the geometry optimization and frequency analyses were performed using DFT at the B3LYP/6-31G(d,p) level for non-metal atoms and SDD basis set for transition metals. Solvent effects (water, ethanol, and DMSO) were modeled using the SMD continuum model as implemented in the Gaussian 16. Key descriptors such as HOMO–LUMO energies, their energy gaps, molecular electrostatic potential (ESP), and thermodynamics metrics were computed by Multiwf, Jmol, and SHERMO, respectively.</p><p>DFT studies of transition metal-piroxicam (Mn, Fe, Co, Ni, and Zn) focusing on solvent effects on different parameters. Solvent-induced changes in reactivity and stability are analyzed using solvation energy, global descriptors, molecular orbitals, and thermodynamic parameters. Complementary ADMET and toxicity evaluations via ADMETlab3.0 provide insights into pharmacokinetics, drug-likeness, and safety profiles, supporting their potential in drug formulation and development.</p>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 9","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comprehensive DFT study on piroxicam transition metal complexes (Mn, Fe, Co, Ni, and Zn): implications for computational drug design\",\"authors\":\"Riaz Maira,&nbsp;Muhammad Azam,&nbsp;Ahmed Irfan,&nbsp;Muhammad Asim Raza Basra\",\"doi\":\"10.1007/s00894-025-06483-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Computational approaches are instrumental in understanding the structural and electronic characteristics of drug metal complexes, thereby facilitating the rational deign of more effective pharmaceutical agents prior to experimental validation. The present work was designed to evaluate the drug-likeness and therapeutic potential, bioavailability, pharmacokinetics, and toxicity characteristics of piroxicam transition metal (Mn, Fe, Co, Ni, and Zn). Additionally, the comprehensive structural, electronic, and solvent-dependent behavior were investigated through theoretical analysis, with particular emphasis geometry optimizations and stabilization effects explored in solvents such as water, ethanol, and DMSO. Among the studied systems, the Co and Ni-piroxicam complexes exhibited the highest stabilization energy. HOMO–LUMO energy gaps and molecular electrostatic potential (MEP) maps indicate enhanced charge transfer characteristics, helping to identify reactive electrophilic and nucleophilic sites. These findings underscore the significant influence of solvent polarity and metal ion size on the physicochemical properties and potential bioavailability of metal drug complexes. The ADMET assessment also proved the safety profile coupled with no predicted toxicity, offering meaningful insights for rational drug design.</p><p>ADMET analysis was carried out using the ADMETlab 3.0 online web server to predict, pharmacokinetic behavior, and various toxicity aspects. Furthermore, the geometry optimization and frequency analyses were performed using DFT at the B3LYP/6-31G(d,p) level for non-metal atoms and SDD basis set for transition metals. Solvent effects (water, ethanol, and DMSO) were modeled using the SMD continuum model as implemented in the Gaussian 16. Key descriptors such as HOMO–LUMO energies, their energy gaps, molecular electrostatic potential (ESP), and thermodynamics metrics were computed by Multiwf, Jmol, and SHERMO, respectively.</p><p>DFT studies of transition metal-piroxicam (Mn, Fe, Co, Ni, and Zn) focusing on solvent effects on different parameters. Solvent-induced changes in reactivity and stability are analyzed using solvation energy, global descriptors, molecular orbitals, and thermodynamic parameters. Complementary ADMET and toxicity evaluations via ADMETlab3.0 provide insights into pharmacokinetics, drug-likeness, and safety profiles, supporting their potential in drug formulation and development.</p>\",\"PeriodicalId\":651,\"journal\":{\"name\":\"Journal of Molecular Modeling\",\"volume\":\"31 9\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Molecular Modeling\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00894-025-06483-9\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00894-025-06483-9","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

计算方法有助于理解药物金属配合物的结构和电子特性,从而促进在实验验证之前合理设计更有效的药物制剂。本研究旨在评估吡罗西康过渡金属(锰、铁、钴、镍和锌)的药物相似性和治疗潜力、生物利用度、药代动力学和毒性特性。此外,通过理论分析研究了综合的结构、电子和溶剂依赖行为,特别强调几何优化和在水、乙醇和DMSO等溶剂中的稳定效应。在所研究的体系中,Co和ni -吡罗西康配合物的稳定能最高。HOMO-LUMO能隙和分子静电势(MEP)图显示了增强的电荷转移特征,有助于识别反应性亲电和亲核位点。这些发现强调了溶剂极性和金属离子大小对金属药物配合物的理化性质和潜在生物利用度的重要影响。ADMET评估也证明了安全性,并且没有预测毒性,为合理的药物设计提供了有意义的见解。ADMET分析采用ADMETlab 3.0在线web服务器进行预测、药代动力学行为和各毒性方面。此外,利用DFT对非金属原子进行了B3LYP/6-31G(d,p)水平的几何优化和频率分析,并对过渡金属进行了SDD基集。溶剂效应(水、乙醇和DMSO)使用SMD连续体模型建模,该模型在高斯16中实现。利用Multiwf、Jmol和SHERMO分别计算了HOMO-LUMO能量、能隙、分子静电势(ESP)和热力学指标等关键描述符。过渡金属-吡罗西康(Mn, Fe, Co, Ni, Zn)的DFT研究重点是溶剂对不同参数的影响。利用溶剂化能、全局描述符、分子轨道和热力学参数分析了溶剂引起的反应性和稳定性的变化。通过ADMETlab3.0进行补充性ADMET和毒性评估,可以深入了解药代动力学、药物相似性和安全性概况,支持它们在药物配方和开发中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive DFT study on piroxicam transition metal complexes (Mn, Fe, Co, Ni, and Zn): implications for computational drug design

Computational approaches are instrumental in understanding the structural and electronic characteristics of drug metal complexes, thereby facilitating the rational deign of more effective pharmaceutical agents prior to experimental validation. The present work was designed to evaluate the drug-likeness and therapeutic potential, bioavailability, pharmacokinetics, and toxicity characteristics of piroxicam transition metal (Mn, Fe, Co, Ni, and Zn). Additionally, the comprehensive structural, electronic, and solvent-dependent behavior were investigated through theoretical analysis, with particular emphasis geometry optimizations and stabilization effects explored in solvents such as water, ethanol, and DMSO. Among the studied systems, the Co and Ni-piroxicam complexes exhibited the highest stabilization energy. HOMO–LUMO energy gaps and molecular electrostatic potential (MEP) maps indicate enhanced charge transfer characteristics, helping to identify reactive electrophilic and nucleophilic sites. These findings underscore the significant influence of solvent polarity and metal ion size on the physicochemical properties and potential bioavailability of metal drug complexes. The ADMET assessment also proved the safety profile coupled with no predicted toxicity, offering meaningful insights for rational drug design.

ADMET analysis was carried out using the ADMETlab 3.0 online web server to predict, pharmacokinetic behavior, and various toxicity aspects. Furthermore, the geometry optimization and frequency analyses were performed using DFT at the B3LYP/6-31G(d,p) level for non-metal atoms and SDD basis set for transition metals. Solvent effects (water, ethanol, and DMSO) were modeled using the SMD continuum model as implemented in the Gaussian 16. Key descriptors such as HOMO–LUMO energies, their energy gaps, molecular electrostatic potential (ESP), and thermodynamics metrics were computed by Multiwf, Jmol, and SHERMO, respectively.

DFT studies of transition metal-piroxicam (Mn, Fe, Co, Ni, and Zn) focusing on solvent effects on different parameters. Solvent-induced changes in reactivity and stability are analyzed using solvation energy, global descriptors, molecular orbitals, and thermodynamic parameters. Complementary ADMET and toxicity evaluations via ADMETlab3.0 provide insights into pharmacokinetics, drug-likeness, and safety profiles, supporting their potential in drug formulation and development.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
×
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