Computational identification of novel histone deacetylase inhibitors by docking based QSAR

Abstract Histone deacetylases (HDACs) are enzymes that modify chromatin structure and contribute to aberrant gene expression in cancer. A series compounds with well-assigned HDAC inhibitory activity was used for docking based 3D–QSAR analysis. The 3D–QSAR acquired had excellent correlation coefficie...

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Bibliographic Details
Published in:Computers in biology and medicine Vol. 42; no. 6; pp. 697 - 705
Main Authors: Nair, Syam B, Teli, Mahesh Kumar, Pradeep, H, Rajanikant, G.K
Format: Journal Article
Language:English
Published: United States Elsevier Ltd 01-06-2012
Elsevier Limited
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Summary:Abstract Histone deacetylases (HDACs) are enzymes that modify chromatin structure and contribute to aberrant gene expression in cancer. A series compounds with well-assigned HDAC inhibitory activity was used for docking based 3D–QSAR analysis. The 3D–QSAR acquired had excellent correlation coefficient value ( q2 =0.753) and high Fisher ratio ( F =300.2). A validated pharmacophore model (AAAPR) was employed for virtual screening. After manual selection, molecular docking and further refinement, six compounds with good absorption, distribution, metabolism, and excretion (ADME) properties were selected as potential HDAC inhibitors. Further, the molecular interactions of these inhibitors with the HDAC active site residues were discussed in detail.
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ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2012.04.001