Literature DB >> 27567077

Synthesis and aromatase inhibitory evaluation of 4-N-nitrophenyl substituted amino-4H-1,2,4-triazole derivatives.

Zhidan Song1, Yanchun Liu1, Zhoutong Dai2, Wei Liu3, Kai Zhao4, Tongcun Zhang1, Yanying Hu1, Xiuli Zhang5, Yujie Dai6.   

Abstract

In this paper, 13 4-N-nitrophenyl substituted amino-4H-1,2,4-triazole derivatives were synthesized and their aromatase inhibitory activities were measured. The results show that the substitution of the groups on benzyl group can further improve their bioactivity and the compound with Cl on the para position of benzyl has the highest bioactivity (IC50=9.02nM). A QSAR model was constructed from the 13 compounds with genetic function approximation using DS 2.1 package. This model can explain 90.09% of the variance (R(2)Adj), while it can predict 84.95% of the variance (R(2)cv) with the confidence interval of 95%.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  4-N-Nitrophenyl substituted amino-4H-1,2,4-triazole; Aromatase inhibitors; QSAR

Mesh:

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Year:  2016        PMID: 27567077     DOI: 10.1016/j.bmc.2016.08.014

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  4 in total

Review 1.  Towards understanding aromatase inhibitory activity via QSAR modeling.

Authors:  Watshara Shoombuatong; Nalini Schaduangrat; Chanin Nantasenamat
Journal:  EXCLI J       Date:  2018-07-20       Impact factor: 4.068

2.  Synthesis, Docking Studies and Biological Activity of New Benzimidazole- Triazolothiadiazine Derivatives as Aromatase Inhibitor.

Authors:  Ulviye Acar Çevik; Betül Kaya Çavuşoğlu; Begüm Nurpelin Sağlık; Derya Osmaniye; Serkan Levent; Sinem Ilgın; Yusuf Özkay; Zafer Asım Kaplancıklı
Journal:  Molecules       Date:  2020-04-02       Impact factor: 4.411

Review 3.  An insight on medicinal attributes of 1,2,4-triazoles.

Authors:  Ranjana Aggarwal; Garima Sumran
Journal:  Eur J Med Chem       Date:  2020-07-27       Impact factor: 6.514

4.  Towards an Understanding of the Mode of Action of Human Aromatase Activity for Azoles through Quantum Chemical Descriptors-Based Regression and Structure Activity Relationship Modeling Analysis.

Authors:  Chayawan Chayawan; Cosimo Toma; Emilio Benfenati; Ana Y Caballero Alfonso
Journal:  Molecules       Date:  2020-02-08       Impact factor: 4.411

  4 in total

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