Matvey S. Horetski , Yuliya A. Chylik , Vladimir M. Shkumatov
{"title":"Investigating lipophilicity of boron dipyrromethenes using experimental and computational approaches","authors":"Matvey S. Horetski , Yuliya A. Chylik , Vladimir M. Shkumatov","doi":"10.1016/j.cdc.2024.101129","DOIUrl":null,"url":null,"abstract":"<div><p>BODIPY fluorescent dyes is a versatile class of molecules with a wide spectrum of applications, particularly in biological imaging and sensing. For these applications, lipophilicity is a critical factor that influences the compound's solubility, biodistribution, and biological interactions. This study investigated the synthesis and lipophilicity characterization of a series of BODIPY fluorescent dyes. The lipophilicity of the compounds was determined by high-performance liquid chromatography and compared to the predictions of theoretical methods. The results demonstrated the effectiveness of some fragment-based methods in BODIPY's lipophilicity calculation. The role of hydrophobic surface area in molecular lipophilicity was also investigated. The findings of this study provide insights into the structure-property relationships of BODIPY dyes and can be used to design derivatives with desired lipophilicity for specific applications.</p></div>","PeriodicalId":269,"journal":{"name":"Chemical Data Collections","volume":"51 ","pages":"Article 101129"},"PeriodicalIF":2.2180,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Data Collections","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S240583002400017X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 0
Abstract
BODIPY fluorescent dyes is a versatile class of molecules with a wide spectrum of applications, particularly in biological imaging and sensing. For these applications, lipophilicity is a critical factor that influences the compound's solubility, biodistribution, and biological interactions. This study investigated the synthesis and lipophilicity characterization of a series of BODIPY fluorescent dyes. The lipophilicity of the compounds was determined by high-performance liquid chromatography and compared to the predictions of theoretical methods. The results demonstrated the effectiveness of some fragment-based methods in BODIPY's lipophilicity calculation. The role of hydrophobic surface area in molecular lipophilicity was also investigated. The findings of this study provide insights into the structure-property relationships of BODIPY dyes and can be used to design derivatives with desired lipophilicity for specific applications.
期刊介绍:
Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.