Zapizolam

The central nervous system (CNS) activity has been investigated by using a topological substructural molecular approach (TOPS-MODE). A discriminant analysis to classify CNS and non-CNS drugs was developed on a data set (302 compounds) of great structural variability where more than 81% (247/302) were well classified. Randic's orthogonalization procedures was carried out to allow the interpretation of the model and to avoid the collinearity among descriptors. The discriminant model was assessed by a leave-n-out (when n varies from 2 to 20) cross-validation procedure (79.94% of correct classification), an external prediction set composed by 78 CNS/non-CNS drugs (80.77% of correct classification) and a 5-fold full cross-validation (removing 78 compounds in each cycle, 80.00% of good classification). With this methodology was demonstrated that the hydrophobicity increase the CNS activity, while the dipole moment and the polar surface area decrease it; evidencing the capacity of the TOPS-MODE descriptors to estimate CNS activity for new drug candidates. The structural contributions to the CNS activity for two compounds are presented on the basis of fragment contributions. The model has also been able to identify potential structural pharmacophore, showing its possibilities in the lead generation and optimization processes.

A novel approach to computer-aided molecular design is illustrated. This approach is based on the calculation of the spectral moments of the bond adjacency matrix of graphs representing molecular structures. Spectral moments are then expressed as linear combinations of the different sub-structures present in molecules. Two series of compounds, one containing sedative/hypnotic and the other containing different classes of drugs were used to find a discriminant function with the present approach. Several compounds from the Merck Index were identified by the model as sedative/hypnotic, five of them were found in the recent literature as possessing this activity. The critical fragments, actives and inactive ones, were detected.