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Original Research

QSAR and pharmacophore modeling of aminopyridazine derivatives of γ-aminobutyric acid as selective GABA-A receptor antagonists against induced coma

Pages 49-60 | Published online: 16 Oct 2015

Figures & data

Table 1 Biological activity data

Table 2 Molecular descriptors used in this study

Figure 1 Normal probability distribution of the residuals.

Figure 1 Normal probability distribution of the residuals.

Figure 2 Residual versus fitted plot of the response data.

Figure 2 Residual versus fitted plot of the response data.

Table 3 Calculated structural invariants of a series of aminopyridazine derivatives of γ-aminobutyric acid

Table 4 T-values of the modeled parameters

Figure 3 Plot of observed versus predicted binding affinity of the test compounds.

Figure 3 Plot of observed versus predicted binding affinity of the test compounds.

Figure 4 Pharmacophore model of highly active compounds.

Figure 4 Pharmacophore model of highly active compounds.

Figure 5 Pharmacophore model of low active compound number 11.

Abbreviations: H AR, hydrophobicity and aromaticity; HBD, hydrogen bond donor; HBA, hydrogen bond acceptor; NI, negative ionization.
Figure 5 Pharmacophore model of low active compound number 11.

Figure 6 Best pose of highly active ligand 30 (stick model) docked with the human GABA-A target cavity represented by molecular surface.

Notes: The active residues within 4 Å of the inhibitor are displayed. Green color dotted lines represent H-bonding.
Figure 6 Best pose of highly active ligand 30 (stick model) docked with the human GABA-A target cavity represented by molecular surface.

Figure 7 Structural requirements for designing highly active congeneric compounds.

Abbreviations: H AR, hydrophobicity and aromaticity; HBD, hydrogen bond donor; HBA, hydrogen bond acceptor; NI, negative ionization.
Figure 7 Structural requirements for designing highly active congeneric compounds.