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2000
Volume 21, Issue 9
  • ISSN: 0929-8673
  • E-ISSN: 1875-533X

Abstract

In the present work, QSAR model was derived by multiple linear regression method for the prediction of anticancer activity of 18β-glycyrrhetinic acid derivatives against the human breast cancer cell line MCF-7. The QSAR model for anti-proliferative activity against MCF-7 showed high correlation (r2=0.90 and rCV2=0.83) and indicated that chemical descriptors namely, dipole moment (debye), steric energy (kcal/mole), heat of formation (kcal/mole), ionization potential (eV), LogP, LUMO energy (eV) and shape index (basic kappa, order 3) correlate well with activity. The QSAR virtually predicted that active derivatives were first semi-synthesized and characterized on the basis of their 1H and 13C NMR spectroscopic data and then were in-vitro tested against MCF-7 cancer cell line. In particular, octylamide derivative of glycyrrhetinic acid GA-12 has marked cytotoxic activity against MCF-7 similar to that of standard anticancer drug paclitaxel. The biological assays of active derivative selected by virtual screening showed significant experimental activity.

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/content/journals/cmc/10.2174/09298673113206660330
2014-03-01
2025-04-15
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  • Article Type:
    Research Article
Keyword(s): 18β-glycyrrhetinic acid; ADMET; cell line MCF-7; human breast cancer; QSAR
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