4.6 Article

Drug likeness prediction of 5-hydroxy-substituted coumarins with high affinity to 5-HT1A and 5-HT2A receptors

期刊

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejps.2018.01.011

关键词

5-Hydroxycoumarins; Drug likeness parameters; Human serum albumin binding; Fluorometry; Molecular simulations; Proton dissociation constants

资金

  1. Hungarian National Research, Development and Innovation Office-NKFI [FK 124240]
  2. Ministry of Human Capacities [UNKP-17-4, UNKP-17-2]

向作者/读者索取更多资源

One of the latest trends is search for the new anti-psychotic drugs among coumarin derivatives with piperazine moiety. Their therapeutic potential can be hampered by poor physico-chemical parameters as low brain penetration or limited transport in the body fluid. Herein, we predicted the drug likeness of six coumarins with high affinity towards 5-HT1A and 5-HT2A receptors. Subsequent experimental determination of their binding constants to human serum albumin (HSA) revealed the binding with a moderate strength (logK = 4.8-5.8) at the Sudlow's site 1, which represents a possibility of temporary storage of tested coumarins on HSA. Computational mapping of the binding of coumarins - HSA complexes showed that the coumarin rings of all tested compounds were similarly located within the hydrophobic binding pocket of HSA, while the rest of molecules (composed with alkyl chains, piperazine and benzene rings) decided about the difference in binding modes by the hydrogen bonding interactions. The proton dissociation constants (pKa) of the compounds were also determined by UV-vis spectrophotometric titrations to obtain the distribution of the species in the different protonation states at physiological pH of 7.4. A good agreement of the computationally- determined free enthalpy values of the ligand - HSA complexes with the values determined by experimental fluorescence quenching data could be a promising prospect for proposed theoretical strategy.

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

4.6
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