Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/30375
Title: 3D-QSAR of histone deacetylase inhibitors as anticancer agents by genetic function approximation
Authors: Wagh, Nilesh K
Deokar, Hemantkumar S
Juvale, Dhanshri C
Kadam, Shivajirao S
Kulkarni, Vithal M
Keywords: 3D-QSAR;Genetic function approximation;Anticancer agents;Histone deacetylases;Hydroxamic acid analogues;Physico-chemical descriptors
Issue Date: Dec-2006
Publisher: NISCAIR-CSIR, India
Abstract: Histone deacetylases (HDACs) playa critical role in gene transcription and are implicated in cancer therapy and other diseases. Inhibitors of HDACs induce cell differentiation and suppress cell proliferation in the tumor cells. Although many such inhibitors have been designed and synthesized, but selective inhibitors for HDAC isoforms are lacking. Various hydroxamic acid analogues have been reported as HDAC inhibitors. Here, we report a three-dimensional quantitative structure-activity relationship (3D-QSAR) study performed using genetic function approximation (GFA) for this class of molecules. QSAR models were generated using a training set of 39 molecules and the predictive ability of final model was assessed using a test set of 17 molecules. The internal consistency of the final QSAR model was 0.712 and showed good external predictivity of 0.585. The results of the present QSAR study indicated that molecular shape analysis (MSA), thermodynamic and structural descriptors are important for inhibition of HDACs.
Page(s): 360-371
URI: http://hdl.handle.net/123456789/30375
ISSN: 0975-0959 (Online); 0301-1208 (Print)
Appears in Collections:IJBB Vol.43(6) [December 2006]

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