Abstract
The malonyl-CoA decarboxylase (MCD) inhibition activity of derivatives of N-alkyl-N-(1,1,1,3,3,3-hexafluoro-2-hydroxypropylphenyl)amide has been analyzed through combinatorial protocolin multiple linear regression (CP-MLR) using different topological descriptors obtained from Dragon software for the energy minimized 3D-structures of these molecules. Among the topological descriptor classes considered in the study, the MCD inhibition activity is correlated with simple topological descriptors (TOPO) and 2D-autocorrelation descriptors (2DAUTO). The complementary information contents having neighborhood symmetry of 2-order, CIC2 from the TOPO class, the Geary autocorrelations-lag 8, weighted by atomic Sanderson electronegativities, GATS8e and the Moran autocorrelations-lag 6, weighted by atomic Sanderson electronegativities, MATS6e both from 2DAUTO class have contributed significantly in the development of a statistical significant model.
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