Molecular docking can be effectively used for optimization of
drug when the 3D structure of the protein/enzyme with which
the drug interacts is known (Mahajan et al., 2012). According to
one school of thought, in absence of information about the target
protein/receptor, QSAR and pharmacophore modeling are preferable
techniques for lead optimization (Mahajan et al., 2012).
Since the exact mechanism of action and the receptors with which
PIB-SOs interact are unknown (Fortin et al., 2011; Turcotte et al.,
2012), we have performed extensive QSAR, and CoMFA (ligand
based drug design) analyses on PIB-SOs to determine the structural
features that control their anti-proliferative activity. This will provide
understanding of drug mechanism for PIB-SOs class and will
help in developing potentially active and better drug candidates
against cancer.
Molecular docking can be effectively used for optimization of
drug when the 3D structure of the protein/enzyme with which
the drug interacts is known (Mahajan et al., 2012). According to
one school of thought, in absence of information about the target
protein/receptor, QSAR and pharmacophore modeling are preferable
techniques for lead optimization (Mahajan et al., 2012).
Since the exact mechanism of action and the receptors with which
PIB-SOs interact are unknown (Fortin et al., 2011; Turcotte et al.,
2012), we have performed extensive QSAR, and CoMFA (ligand
based drug design) analyses on PIB-SOs to determine the structural
features that control their anti-proliferative activity. This will provide
understanding of drug mechanism for PIB-SOs class and will
help in developing potentially active and better drug candidates
against cancer.
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