4.7 Article

Exploring binding properties of sertraline with human serum albumin: Combination of spectroscopic and molecular modeling studies

期刊

CHEMICO-BIOLOGICAL INTERACTIONS
卷 242, 期 -, 页码 235-246

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.cbi.2015.10.006

关键词

Sertraline; Human serum albumin; Drug binding; Ligand-protein interaction

资金

  1. Vice-Chancellor for Research and Technology, Kermanshah University of Medical Sciences
  2. Kermanshah University of Medical Sciences, Kermanshah, Iran [92410]

向作者/读者索取更多资源

Human serum albumin (HSA)-drug binding is an important factor to determine half life and bioavailability of drugs. In the present research, the interaction of sertraline (SER) to HSA was investigated using combination of spectroscopic and molecular modeling techniques. Changes in the UV-Vis, CD and FT-IR spectra as well as a significant degree of tryptophan fluorescence quenching were observed upon SER-HSA interaction. Data obtained by spectroscopic methods along with the computational studies suggest that SER binds to residues located in subdomain IIA of HSA. Analysis of spectroscopic data represented the formation of 1:1 complex, significant binding affinity, negative values of entropy and enthalpy changes and the essential role of hydrophobic interactions in binding of SER to HSA. The binding models were demonstrated in the aspects of SER's conformation, active site interactions, important amino acids and hydrogen bonding. Computational mapping of the possible binding site of SER confirmed that the ligand to be bound in a large hydrophobic cavity of HSA. In accordance with experimental data, computational analyses indicated that SER binding does not alter the secondary structure of the protein. The results not only lead to a better understanding of interaction between SER and HSA but also provide useful data about the influence of SER on the protein conformation. (C) 2015 Elsevier Ireland Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据