Literature DB >> 15134505

Quantitative structure-activity relationship study of histone deacetylase inhibitors.

Aihua Xie1, Chenzhong Liao, Zhibin Li, Zhiqiang Ning, Weiming Hu, Xianping Lu, Leming Shi, Jiaju Zhou.   

Abstract

Histone deacetylases (HDACs) play a critical role in gene transcription and have become a novel target for the discovery of drugs against cancer and other diseases. During the past several years there have been extensive efforts in the identification and optimization of histone deacetylase inhibitors (HDACIs) as novel anticancer drugs. Here we report a comprehensive quantitative structure-activity relationship (QSAR) study of HDACIs in the hope of identifying the structural determinants for anticancer activity. We have identified, collected, and verified the structural and biological activity data for 124 compounds from various literature sources and performed an extensive QSAR study on this comprehensive data set by using various QSAR and classification methods. A highly predictive QSAR model with R(2) of 0.76 and leave-one-out cross-validated R(2) of 0.73 was obtained. The overall rate of cross-validated correct prediction of the classification model is around 92%. The QSAR and classification models provided direct guidance to our internal programs of identifying and optimizing HDAC inhibitors. Limitations of the models were also discussed.

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Year:  2004        PMID: 15134505     DOI: 10.2174/1568011043352948

Source DB:  PubMed          Journal:  Curr Med Chem Anticancer Agents        ISSN: 1568-0118


  8 in total

1.  Chidamide shows synergistic cytotoxicity with cytarabine via inducing G0/G1 arrest and apoptosis in myelodysplastic syndromes.

Authors:  Zhaoyun Liu; Jin Chen; Honglei Wang; Kai Ding; Yanqi Li; Anya de Silva; Varun Sehgal; Jonathan Lvan Burbano; Radhika Sundararaj; Janani Gamage; Victor Audu; Rong Fu
Journal:  Am J Transl Res       Date:  2017-12-15       Impact factor: 4.060

2.  Predictive QSAR workflow for the in silico identification and screening of novel HDAC inhibitors.

Authors:  Georgia Melagraki; Antreas Afantitis; Haralambos Sarimveis; Panayiotis A Koutentis; George Kollias; Olga Igglessi-Markopoulou
Journal:  Mol Divers       Date:  2009-02-10       Impact factor: 2.943

3.  Developing consensus 3D-QSAR and pharmacophore models for several beta-secretase, farnesyl transferase and histone deacetylase inhibitors.

Authors:  Hsin-Yuan Wei; Guan-Ju Chen; Chih-Lun Chen; Thy-Hou Lin
Journal:  J Mol Model       Date:  2011-05-12       Impact factor: 1.810

4.  Histone deacetylase inhibitor chidamide induces growth inhibition and apoptosis in NK/T lymphoma cells through ATM-Chk2-p53-p21 signalling pathway.

Authors:  Jianan Zhou; Canjing Zhang; Xianxian Sui; Shengxuan Cao; Feng Tang; Shuhui Sun; Songmei Wang; Bobin Chen
Journal:  Invest New Drugs       Date:  2018-03-05       Impact factor: 3.850

Review 5.  Computational studies on the histone deacetylases and the design of selective histone deacetylase inhibitors.

Authors:  Difei Wang
Journal:  Curr Top Med Chem       Date:  2009       Impact factor: 3.295

Review 6.  Computer-Aided Drug Design in Epigenetics.

Authors:  Wenchao Lu; Rukang Zhang; Hao Jiang; Huimin Zhang; Cheng Luo
Journal:  Front Chem       Date:  2018-03-12       Impact factor: 5.221

7.  Synergistic effect of chidamide and venetoclax on apoptosis in acute myeloid leukemia cells and its mechanism.

Authors:  Gangping Li; Dongbei Li; Fangfang Yuan; Cheng Cheng; Lin Chen; Xudong Wei
Journal:  Ann Transl Med       Date:  2021-10

8.  Computer-Driven Development of an in Silico Tool for Finding Selective Histone Deacetylase 1 Inhibitors.

Authors:  Hajar Sirous; Giuseppe Campiani; Simone Brogi; Vincenzo Calderone; Giulia Chemi
Journal:  Molecules       Date:  2020-04-22       Impact factor: 4.411

  8 in total

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