In silico study on β-aminoketone derivatives as thyroid hormone receptor inhibitors: A combined 3D-QSAR and molecular docking study

Fang-Fang Wang, Wei Yang, Yong-Hui Shi, Guo-Wei Le

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3 Citations (Scopus)

Abstract

In order to explore the structure–activity correlation of a series of β-aminoketone analogs as inhibitors of thyroid hormone receptor (TR), a set of three-dimensional quantitative structure–activity relationship (3D-QSAR) models based on comparative molecular field analysis (CoMFA) and comparative molecular similarity analysis (CoMSIA), for the first time, were developed in the present work. The best CoMFA model with steric and electrostatic fields exhibited R2 cv=.604,R2 pred=.5580 for TRβ, and R2 cv=.526 , R2 pred=.6983 for TRα. 3D contour maps produced from the optimal models were further analyzed individually, which provide the areas in space where interactive fields would affect the inhibitory activity. In addition, the binding modes of inhibitors at the active site of TRs were examined using molecular docking, the results indicated that this series of inhibitors fit into the active site of TRs by forming hydrogen bonding and electrostatic interactions. The docking studies also revealed that Leu305, Val458 for TRβ, and Asp407 for TRα are showing hydrogen bonds with the most active inhibitors. In any case, the 3D-QSAR models combined with the binding information will serve as a useful approach to explore the chemical space for improving the activity of TRβ and TRα inhibitors.
Original languageEnglish
Pages (from-to)2619-2631
Number of pages13
JournalJournal of Biomolecular Structure and Dynamics
Volume34
Issue number12
DOIs
Publication statusPublished - Apr 2016

Keywords

  • TRβ
  • TRα
  • CoMFA
  • CoMSIA
  • molecular docking

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