{"title":"克林霉素新剂型抗菌辅料的DFT研究","authors":"Mrinal Kanti Si , Shweta Singh Chauhan , Ayush Rahangdale , Maitreyi Pathak , Ankita Singh , Nirnith Devireddy , Pranav Karmwar","doi":"10.1016/j.comptc.2025.115357","DOIUrl":null,"url":null,"abstract":"<div><div>Pharmaceutical excipients serve vital roles in drug formulations as preservatives, coloring agents, lubricants, binders, disintegrates, and diluents. Clindamycin, lincosamide antibiotic, is widely used to treat various bacterial infections, including osteomyelitis joint infections, pelvic inflammatory disease, strep throat, pneumonia, acute otitis media, and endocarditis. It is available in multiple dosage forms such as oral, intravenous, topical, and vaginal formulations. Among common preservatives, benzyl alcohol is frequently used in clindamycin formulations. Density Functional Theory (DFT) has been employed to investigate the physical and chemical stability of clindamycin in the presence of three preservative excipients: phenol, benzyl alcohol, and <em>o</em>-phenyl phenol. Molecular interactions have been analysed using calculated binding energies, molecular electrostatic potential (MESP) maps, and topological parameters. Chemical stability has been further evaluated through simulated infrared (IR) spectra. The DFT-based computational approach enabled the comparative assessment of excipient-drug interactions to identify the most suitable preservative excipient for clindamycin formulation.</div></div>","PeriodicalId":284,"journal":{"name":"Computational and Theoretical Chemistry","volume":"1252 ","pages":"Article 115357"},"PeriodicalIF":3.0000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DFT studies for searching of anti-microbial excipients for the novel formulation of clindamycin\",\"authors\":\"Mrinal Kanti Si , Shweta Singh Chauhan , Ayush Rahangdale , Maitreyi Pathak , Ankita Singh , Nirnith Devireddy , Pranav Karmwar\",\"doi\":\"10.1016/j.comptc.2025.115357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Pharmaceutical excipients serve vital roles in drug formulations as preservatives, coloring agents, lubricants, binders, disintegrates, and diluents. Clindamycin, lincosamide antibiotic, is widely used to treat various bacterial infections, including osteomyelitis joint infections, pelvic inflammatory disease, strep throat, pneumonia, acute otitis media, and endocarditis. It is available in multiple dosage forms such as oral, intravenous, topical, and vaginal formulations. Among common preservatives, benzyl alcohol is frequently used in clindamycin formulations. Density Functional Theory (DFT) has been employed to investigate the physical and chemical stability of clindamycin in the presence of three preservative excipients: phenol, benzyl alcohol, and <em>o</em>-phenyl phenol. Molecular interactions have been analysed using calculated binding energies, molecular electrostatic potential (MESP) maps, and topological parameters. Chemical stability has been further evaluated through simulated infrared (IR) spectra. The DFT-based computational approach enabled the comparative assessment of excipient-drug interactions to identify the most suitable preservative excipient for clindamycin formulation.</div></div>\",\"PeriodicalId\":284,\"journal\":{\"name\":\"Computational and Theoretical Chemistry\",\"volume\":\"1252 \",\"pages\":\"Article 115357\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational and Theoretical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210271X25002932\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Theoretical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210271X25002932","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
DFT studies for searching of anti-microbial excipients for the novel formulation of clindamycin
Pharmaceutical excipients serve vital roles in drug formulations as preservatives, coloring agents, lubricants, binders, disintegrates, and diluents. Clindamycin, lincosamide antibiotic, is widely used to treat various bacterial infections, including osteomyelitis joint infections, pelvic inflammatory disease, strep throat, pneumonia, acute otitis media, and endocarditis. It is available in multiple dosage forms such as oral, intravenous, topical, and vaginal formulations. Among common preservatives, benzyl alcohol is frequently used in clindamycin formulations. Density Functional Theory (DFT) has been employed to investigate the physical and chemical stability of clindamycin in the presence of three preservative excipients: phenol, benzyl alcohol, and o-phenyl phenol. Molecular interactions have been analysed using calculated binding energies, molecular electrostatic potential (MESP) maps, and topological parameters. Chemical stability has been further evaluated through simulated infrared (IR) spectra. The DFT-based computational approach enabled the comparative assessment of excipient-drug interactions to identify the most suitable preservative excipient for clindamycin formulation.
期刊介绍:
Computational and Theoretical Chemistry publishes high quality, original reports of significance in computational and theoretical chemistry including those that deal with problems of structure, properties, energetics, weak interactions, reaction mechanisms, catalysis, and reaction rates involving atoms, molecules, clusters, surfaces, and bulk matter.