{"title":"Molecular interaction of posaconazole with human serum albumin: a spectroscopic and computational approach","authors":"Shravya Rao Madku , Bijaya Ketan Sahoo , K. Lavanya , Ragaiahgari Srinivas Reddy , Anna Tanuja Safala Bodapati , Rajdeep Chowdhury","doi":"10.1016/j.cdc.2025.101209","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding drug–protein interactions is essential for optimizing pharmacokinetic properties and therapeutic efficacy. In this study, the binding mechanism of the antifungal drug posaconazole (PZA) with human serum albumin (HSA) was systematically investigated using a combination of spectroscopic techniques and molecular docking. UV–visible spectroscopy indicated complex formation, as evidenced by a hyperchromic shift upon HSA addition. Fluorescence quenching studies revealed significant interaction between PZA and HSA, with binding and quenching constants in the range of 10⁴ M⁻¹. Thermodynamic parameters (ΔH° = 2.676 kJ mol⁻¹; ΔS° = −19.30 J mol⁻¹ K⁻¹) suggest that the binding process is primarily driven by hydrophobic forces, van der Waals interactions, and electrostatic attractions. Molecular docking analysis further confirmed the spontaneous binding of PZA at a site between subdomains IIA and IIB of HSA, located between the classical binding sites I and II. Circular dichroism (CD) spectroscopy showed that the secondary structure of HSA remained largely unaltered upon drug binding, indicating minimal conformational change. These findings provide valuable insights into the molecular basis of PZA–HSA interactions, with implications for drug design and delivery.</div></div>","PeriodicalId":269,"journal":{"name":"Chemical Data Collections","volume":"60 ","pages":"Article 101209"},"PeriodicalIF":2.4000,"publicationDate":"2025-12-01","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/S240583002500031X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/29 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding drug–protein interactions is essential for optimizing pharmacokinetic properties and therapeutic efficacy. In this study, the binding mechanism of the antifungal drug posaconazole (PZA) with human serum albumin (HSA) was systematically investigated using a combination of spectroscopic techniques and molecular docking. UV–visible spectroscopy indicated complex formation, as evidenced by a hyperchromic shift upon HSA addition. Fluorescence quenching studies revealed significant interaction between PZA and HSA, with binding and quenching constants in the range of 10⁴ M⁻¹. Thermodynamic parameters (ΔH° = 2.676 kJ mol⁻¹; ΔS° = −19.30 J mol⁻¹ K⁻¹) suggest that the binding process is primarily driven by hydrophobic forces, van der Waals interactions, and electrostatic attractions. Molecular docking analysis further confirmed the spontaneous binding of PZA at a site between subdomains IIA and IIB of HSA, located between the classical binding sites I and II. Circular dichroism (CD) spectroscopy showed that the secondary structure of HSA remained largely unaltered upon drug binding, indicating minimal conformational change. These findings provide valuable insights into the molecular basis of PZA–HSA interactions, with implications for drug design and delivery.
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.