Crisan L, Pacureanu L, Avram S, Bora A, Avram S, Kurunczi L. PLS and shape-based similarity analysis of maleimides--GSK-3 inhibitors.
J Enzyme Inhib Med Chem 2013;
29:599-610. [PMID:
24047148 DOI:
10.3109/14756366.2013.833196]
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Abstract
CONTEXT
Glycogen synthase kinase-3 (GSK-3) overactivity was correlated with several pathologies including type 2 diabetes mellitus, Alzheimer's disease, cancer, inflammation, obesity, etc.
OBJECTIVE
The aim of the current investigation was to model the inhibitory activity of maleimide derivatives--inhibitors of GSK-3, to evaluate the impact of alignment on statistical performances of the Quantitative Structure-Activity Relationship (QSAR) and the effect of the template on shape-similarity--binding affinity relationship.
MATERIALS AND METHODS
Dragon descriptors were used to generate Projection to Latent Structures (PLS) models in order to identify the structural prerequisites of maleimides to inhibit GSK-3. Additionally, shape/volume structural analysis of binding site interactions was evaluated.
RESULTS
Reliable statistics R(2)(Y(CUM)) = 0.938/0.920, Q((2)(Y)(CUM)) = 0.866/0.838 for aligned and alignment free QSAR models and significant (Pearson, Kendall and Spearman) correlations between shape/volume similarity and affinities were obtained.
DISCUSSION AND CONCLUSIONS
The crucial structural features modulating the activity of maleimides include topology, charge, geometry, 2D autocorrelations, 3D-MoRSE as well as shape/volume and molecular flexibility.
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