Quantitative Structure-Cytotoxicity Relationship of Aurones

Yoshihiro Uesawa1, Hiroshi Sakagami2, Naruhiko Ikezoe3

  • 1Department of Clinical Pharmaceutics, Meiji Pharmaceutical University, Tokyo, Japan uesawa@my-pharm.ac.jp.

Anticancer Research
|October 25, 2017
PubMed
Abstract

Insights

Quantitative structure-activity relationship (QSAR) analysis identified potent aurone anticancer agents. Aurone compound 7 demonstrated high tumor specificity and potency, suggesting potential for novel anticancer drug design.

Area of Science:

  • Medicinal Chemistry
  • Computational Chemistry
  • Pharmacology

Background:

  • Aurones are a class of natural products with potential biological activities.
  • Understanding the structure-activity relationships of aurones is crucial for drug discovery.
  • Cytotoxicity and tumor specificity are key parameters for evaluating anticancer drug candidates.

Purpose of the Study:

  • To perform quantitative structure-activity relationship (QSAR) analysis on seventeen aurones.
  • To identify novel biological activities of aurones, focusing on cytotoxicity and tumor specificity.
  • To discover potential anticancer drug leads from the aurone class.

Main Methods:

  • Assessed cytotoxicity against oral squamous cell carcinoma and oral mesenchymal cell lines using the MTT assay.
  • Calculated tumor specificity (TS) and potency-selectivity expression (PSE) values.
  • Optimized aurone conformations using force-field minimization to compute physicochemical, structural, and quantum-chemical parameters.

Main Results:

  • Sixteen of seventeen aurones exhibited significant cytotoxicity and tumor specificity.
  • Aurone compound 7 displayed the highest TS and PSE values, outperforming 5-FU and comparable to doxorubicin.
  • TS values correlated with molecular shape, size, and polarizability, not substituent groups.

Conclusions:

  • Aurone compound 7 is a promising lead for anticancer drug development.
  • Chemical modification of aurones can lead to new anticancer therapeutics.
  • QSAR analysis is effective in identifying potent and tumor-specific aurone derivatives.