Mohnish Mohnish, Vijayalakshmi Ramavath, Vikas D Ghule, Radhakrishnan Sarangapani
{"title":"1H NMR化学位移的计算:含能材料的结构评估。","authors":"Mohnish Mohnish, Vijayalakshmi Ramavath, Vikas D Ghule, Radhakrishnan Sarangapani","doi":"10.1007/s00894-025-06448-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>Nuclear magnetic resonance (NMR) spectroscopy is a highly valuable tool that is extensively employed for the structure elucidation of organic compounds and in various domains of chemistry. The density functional theory (DFT) and gauge-independent atomic orbital (GIAO) calculation strategy was established to predict reliable NMR chemical shifts with low computational expense and assist in resolving ambiguities in complex structure assignments. Here, we present the DFT-GIAO NMR chemical shift prediction method employed for the first time on a variety of energetic materials. We have predicted <sup>1</sup>H NMR shifts using computationally inexpensive single-point calculations for 48 energetic compounds comprising aliphatic, aromatic and heterocyclic backbones with various explosophoric functionalities. In DFT optimization and GIAO NMR computations at the B3LYP/6-311G+(2d,p) level, we predicted the <sup>1</sup>H chemical shifts for various energetic compounds and validated them with corresponding experimentally measured NMR spectra. The mean absolute deviation in predicted <sup>1</sup>H NMR shifts in CH protons ranges from 0.01 to 2.15 ppm. We illustrate the application of B3LYP/6-311G+(2d,p) method to assign the stereochemistry or highly deshielded protons due to electronegative explosophoric groups in energetic compounds with reasonable accuracy. This study also establishes the structure-chemical shift relationships of energetic materials. We believe that the reliable structural assignments provided by the DFT-GIAO method offer a user-friendly yet underutilized tool for structural validation and assignment of ambiguous and complex energetic molecular structures.</p><p><strong>Methods: </strong>The optimization and proton chemical shift prediction for all selected energetic compounds were carried out at the B3LYP/6-311G+(2d,p) level of theory, utilizing Gaussian 09 software package.</p>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 9","pages":"230"},"PeriodicalIF":2.5000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computation of <sup>1</sup>H NMR chemical shifts: structural assessment of energetic materials.\",\"authors\":\"Mohnish Mohnish, Vijayalakshmi Ramavath, Vikas D Ghule, Radhakrishnan Sarangapani\",\"doi\":\"10.1007/s00894-025-06448-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Context: </strong>Nuclear magnetic resonance (NMR) spectroscopy is a highly valuable tool that is extensively employed for the structure elucidation of organic compounds and in various domains of chemistry. The density functional theory (DFT) and gauge-independent atomic orbital (GIAO) calculation strategy was established to predict reliable NMR chemical shifts with low computational expense and assist in resolving ambiguities in complex structure assignments. Here, we present the DFT-GIAO NMR chemical shift prediction method employed for the first time on a variety of energetic materials. We have predicted <sup>1</sup>H NMR shifts using computationally inexpensive single-point calculations for 48 energetic compounds comprising aliphatic, aromatic and heterocyclic backbones with various explosophoric functionalities. In DFT optimization and GIAO NMR computations at the B3LYP/6-311G+(2d,p) level, we predicted the <sup>1</sup>H chemical shifts for various energetic compounds and validated them with corresponding experimentally measured NMR spectra. The mean absolute deviation in predicted <sup>1</sup>H NMR shifts in CH protons ranges from 0.01 to 2.15 ppm. We illustrate the application of B3LYP/6-311G+(2d,p) method to assign the stereochemistry or highly deshielded protons due to electronegative explosophoric groups in energetic compounds with reasonable accuracy. This study also establishes the structure-chemical shift relationships of energetic materials. We believe that the reliable structural assignments provided by the DFT-GIAO method offer a user-friendly yet underutilized tool for structural validation and assignment of ambiguous and complex energetic molecular structures.</p><p><strong>Methods: </strong>The optimization and proton chemical shift prediction for all selected energetic compounds were carried out at the B3LYP/6-311G+(2d,p) level of theory, utilizing Gaussian 09 software package.</p>\",\"PeriodicalId\":651,\"journal\":{\"name\":\"Journal of Molecular Modeling\",\"volume\":\"31 9\",\"pages\":\"230\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-08-05\",\"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://doi.org/10.1007/s00894-025-06448-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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s00894-025-06448-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}
Computation of 1H NMR chemical shifts: structural assessment of energetic materials.
Context: Nuclear magnetic resonance (NMR) spectroscopy is a highly valuable tool that is extensively employed for the structure elucidation of organic compounds and in various domains of chemistry. The density functional theory (DFT) and gauge-independent atomic orbital (GIAO) calculation strategy was established to predict reliable NMR chemical shifts with low computational expense and assist in resolving ambiguities in complex structure assignments. Here, we present the DFT-GIAO NMR chemical shift prediction method employed for the first time on a variety of energetic materials. We have predicted 1H NMR shifts using computationally inexpensive single-point calculations for 48 energetic compounds comprising aliphatic, aromatic and heterocyclic backbones with various explosophoric functionalities. In DFT optimization and GIAO NMR computations at the B3LYP/6-311G+(2d,p) level, we predicted the 1H chemical shifts for various energetic compounds and validated them with corresponding experimentally measured NMR spectra. The mean absolute deviation in predicted 1H NMR shifts in CH protons ranges from 0.01 to 2.15 ppm. We illustrate the application of B3LYP/6-311G+(2d,p) method to assign the stereochemistry or highly deshielded protons due to electronegative explosophoric groups in energetic compounds with reasonable accuracy. This study also establishes the structure-chemical shift relationships of energetic materials. We believe that the reliable structural assignments provided by the DFT-GIAO method offer a user-friendly yet underutilized tool for structural validation and assignment of ambiguous and complex energetic molecular structures.
Methods: The optimization and proton chemical shift prediction for all selected energetic compounds were carried out at the B3LYP/6-311G+(2d,p) level of theory, utilizing Gaussian 09 software package.
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.