In this study, validated PLS-DA models that discriminate heterocyclichydrazones with potent anticancer activity (GI50/IC50=50x10- 6M) against the cancer cell lines HCT-116 (colon), OVCAR-8 (human ovary), HL-60 (leukemia), and SF-295 (glioblastoma) were developed. A dataset of 24-a-(N)-heterocyclichydrazones and 14 N-acylhydrazonyl-thienyl and various global and local reactivity descriptors were used for modeling. The best models classified for training and test sets with an accuracy range between 67-100%, a class specificity and sensitivity range between 71-100%, error rate range between 0-0.27, and nonerror rate range between 0.73-1.0. An external set of 20 compounds was predicted and the models showed which new compounds are not suggested for further biological investigation. The molecular properties with impact on the modeled endpoints show that the antitumor activity can be improved with electron-acceptor N-acylhydrazonyl-thienyl derivatives and a-(N)-heterocyclichydrazones with moderate electron-donating character.Fil: Rodríguez, María Rosa. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet Noa Sur. Centro Regional de Energia y Ambiente Para El Desarrollo Sustentable. - Universidad Nacional de Catamarca. Centro Regional de Energia y Ambiente Para El Desarrollo Sustentable.; ArgentinaFil: Duchowicz, Pablo Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; ArgentinaFil: Comelli, Nieves Carolina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet Noa Sur. Centro Regional de Energia y Ambiente Para El Desarrollo Sustentable. - Universidad Nacional de Catamarca. Centro Regional de Energia y Ambiente Para El Desarrollo Sustentable.; Argentin
