{"title":"Reduction of hydrogen peroxide by amine-based diselenides: understanding the effect of substitutions on reactivity","authors":"Vishnu Rama Chari, Raghu Nath Behera","doi":"10.1007/s00894-025-06313-y","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>Many small organoselenium compounds, such as substituted diselenides, mimic the glutathione peroxidase (GPx) activity by catalysing the reduction of hydrogen peroxide. In this context, the effect of substitution in di-2(N-cyclohexyl,N-(methylamino)-methyl)phenyl diselenide (CMP) on its GPx-like activity (to reduce hydrogen peroxide) has been investigated using the density functional theory. It was observed that the presence of an electron donating group as well as secondary amino group (instead of tertiary one) favoured the peroxide reduction process, which is consistent with the experimental reports. This study revealed that the presence of electron donating group lowers the energy requirement for distortion in zwitterion of the selenol during the progress of the reaction, thereby enhancing its catalytic activity.</p><h3>Methods</h3><p>Geometry optimizations, Natural Bond Order (NBO) and the wavefunction calculations were carried out using Gaussian16 software at B3PW91/6–31+G(d,p) level of theory. Improved energy calculations were carried out at B3PW91/6–311++ G(3df,3pd)//B3PW91/6–31+G(d,p) level of theory. The solvent effect was modelled using the self-consistent reaction field (SCRF) method utilizing polarizable continuum model (PCM). Activation Strain Model was used to study the contributions of the steric and electronic effects due to substitutions. Wavefunction analysis was carried out using <i>Multiwfn</i> software.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 3","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-02-18","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/s00894-025-06313-y","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
Abstract
Context
Many small organoselenium compounds, such as substituted diselenides, mimic the glutathione peroxidase (GPx) activity by catalysing the reduction of hydrogen peroxide. In this context, the effect of substitution in di-2(N-cyclohexyl,N-(methylamino)-methyl)phenyl diselenide (CMP) on its GPx-like activity (to reduce hydrogen peroxide) has been investigated using the density functional theory. It was observed that the presence of an electron donating group as well as secondary amino group (instead of tertiary one) favoured the peroxide reduction process, which is consistent with the experimental reports. This study revealed that the presence of electron donating group lowers the energy requirement for distortion in zwitterion of the selenol during the progress of the reaction, thereby enhancing its catalytic activity.
Methods
Geometry optimizations, Natural Bond Order (NBO) and the wavefunction calculations were carried out using Gaussian16 software at B3PW91/6–31+G(d,p) level of theory. Improved energy calculations were carried out at B3PW91/6–311++ G(3df,3pd)//B3PW91/6–31+G(d,p) level of theory. The solvent effect was modelled using the self-consistent reaction field (SCRF) method utilizing polarizable continuum model (PCM). Activation Strain Model was used to study the contributions of the steric and electronic effects due to substitutions. Wavefunction analysis was carried out using Multiwfn software.
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.