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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Published in: | Computers in biology and medicine Vol. 42; no. 6; pp. 697 - 705 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Elsevier Ltd
01-06-2012
Elsevier Limited |
Subjects: | |
Online Access: | Get full text |
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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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 0010-4825 1879-0534 |
DOI: | 10.1016/j.compbiomed.2012.04.001 |