Literature DB >> 20306277

3D-QSAR studies on caspase-mediated apoptosis activity of phenolic analogues.

Yuanqiang Wang1, Heng Zhang, Yong Lin, Qi Zhao, Hui Liu, Zhan Zhang, Qingyou Xia, Bo Zhu, Zhihua Lin.   

Abstract

Phenols and its analogues are known to induce caspase-mediated apoptosis activity and cytotoxicity on various cancer cell lines. In the current work, two types of molecular field analysis techniques were used to perform the three dimension quantitative structure activity relationship (3D-QSAR) modeling between structural characters and anticancer activity of two sets of phenolic compounds, which are comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). Then two 3D-QSAR models for two sets of phenolic analogues were obtained with good results. The first QSAR model, which was derived from CoMFA for phenols with caspase-mediated apoptosis activity against L1210 cells, had good predictability (q² = 0.874, r² = 0.930), and the other one was derived from CoMSIA for electron-attracting phenols with cytotoxicity in L1210 cell (q² = 0.836, r² = 0.950). In addition, the CoMFA and CoMSIA contour maps provide valuable guidance for designing highly active phenolic compounds.

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Year:  2010        PMID: 20306277     DOI: 10.1007/s00894-010-0689-5

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  15 in total

1.  3D QSAR studies on antimalarial alkoxylated and hydroxylated chalcones by CoMFA and CoMSIA.

Authors:  C X Xue; S Y Cui; M C Liu; Z D Hu; B T Fan
Journal:  Eur J Med Chem       Date:  2004-09       Impact factor: 6.514

2.  QSAR study on phenolic activity: need of positive hydrophobic term (log P) in QSAR.

Authors:  Mamta Thakur; Alok Agarwal; Abhilash Thakur; Padmakar V Khadikar
Journal:  Bioorg Med Chem       Date:  2004-05-01       Impact factor: 3.641

3.  Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.

Authors:  R D Cramer; D E Patterson; J D Bunce
Journal:  J Am Chem Soc       Date:  1988-08-01       Impact factor: 15.419

4.  A theoretical study of phenolic compounds with antioxidant properties.

Authors:  Mauro Reis; Benedito Lobato; Jeronimo Lameira; Alberdan S Santos; Cláudio N Alves
Journal:  Eur J Med Chem       Date:  2006-11-29       Impact factor: 6.514

5.  Exploring predictive QSAR models for hepatocyte toxicity of phenols using QTMS descriptors.

Authors:  Kunal Roy; Paul L A Popelier
Journal:  Bioorg Med Chem Lett       Date:  2008-03-16       Impact factor: 2.823

Review 6.  Caspases: enemies within.

Authors:  N A Thornberry; Y Lazebnik
Journal:  Science       Date:  1998-08-28       Impact factor: 47.728

7.  Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity.

Authors:  G Klebe; U Abraham; T Mietzner
Journal:  J Med Chem       Date:  1994-11-25       Impact factor: 7.446

8.  Phenol toxicity in leukemia cells: a radical process?

Authors:  C D Selassie; T V DeSoyza; M Rosario; H Gao; C Hansch
Journal:  Chem Biol Interact       Date:  1998-06-05       Impact factor: 5.192

9.  3D-QSAR analysis of conformationally constrained diacylglycerol (DAG) analogues as potent protein kinase C (PK-C) ligands.

Authors:  Su Yeon Kim; Jeewoo Lee
Journal:  Bioorg Med Chem       Date:  2004-05-15       Impact factor: 3.641

10.  Mechanisms of cytotoxicity of 2- or 2,6-di-tert-butylphenols and 2-methoxyphenols in terms of inhibition rate constant and a theoretical parameter.

Authors:  Yoshinori Kadoma; Shigeru Ito; Toshiko Atsumi; Seiichiro Fujisawa
Journal:  Chemosphere       Date:  2008-12-11       Impact factor: 7.086

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