Meneses Marcel, AlfredoRivera Borroto, Oscar MiguelMarrero Ponce, YovaniMontero Torres, AlinaMachado Tugores, YanetsyEscario, José AntonioGómez Barrio, AliciaMontero Pereira, DavidNogal Ruiz, Juan JoséKouznetsov, Vladimir V.Ochoa Puentes, ChristianBohórquez, Arnaold R.Grau Ábalo, Ricardo del CorazónTorrens, FranciscoIbarra Velarde, FroylánArán, Vicente J.2018-03-092018-03-09200810870571https://dspace.uclv.edu.cu/handle/123456789/8866Bond-based quadratic indices, new TOMOCOMD-CARDD molecular descriptors, and linear discriminant analysis (LDA) were used to discover novel lead trichomonacidals. The obtained LDA-based quantitative structure-activity relationships (QSAR) models, using nonstochastic and stochastic indices, were able to classify correctly 87.91% (87.50%) and 89.01% (84.38%) of the chemicals in training (test) sets, respectively. They showed large Matthews correlation coefficients of 0.75 (0.71) and 0.78 (0.65) for the training (test) sets, correspondingly. Later, both models were applied to the virtual screening of 21 chemicals to find new lead antitrichomonal agents. Predictions agreed with experimental results to a great extent because a correct classification for both models of 95.24% (20 of 21) of the chemicals was obtained. Of the 21 compounds that were screened and synthesized, 2 molecules (chemicals G-1, UC-245) showed high to moderate cytocidal activity at the concentration of 10 mg/ml, another 2 compounds (G-0 and CRIS-148) showed high cytocidal activity only at the concentration of 100 mg/ml, and the remaining chemicals (from CRIS-105 to CRIS-153, except CRIS-148) were inactive at these assayed concentrations. Finally, the best candidate, G-1 (cytocidal activity of 100% at 10 mg/ml) was in vivo assayed in ovariectomized Wistar rats achieving promising results as a trichomonacidal drug-like compound. (Journal of Biomolecular Screening 2008:785-794).en-USEste documento es propiedad patrimonial de la editorial Sage Science Press que se reserva todos los derechos. La UCLV reproduce el mismo con fines exclusivamente educativos y científicos, restringiendo su empleo a la comunidad universitaria de nuestro centro. Los usarios están obligados a emplear este documento sin ánimos de lucro y sin realizar otras reproducciones, así como a citar el material y sus autores cada vez que sea utilizado.LDA-based QSAR modelVirtual screeningLead generationTrichomonacidal activityCytostatic activityCytocidal activityTrichomomasArticleSage Science Press10.1177/1087057108323122