2026-06-03T21:21:08Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1076922025-03-18T14:09:08Zcom_20.500.14352_14col_20.500.14352_15

2D/3D-QSAR Model Development Based on a Quinoline Pharmacophoric Core for the Inhibition of Plasmodium falciparum: An In Silico Approach with Experimental Validation Lorca, Marcos Muscia, Gisela C. Pérez Benavente, Susana Bautista Santa Cruz, José Manuel Acosta, Alison González, César Sabadini, Gianfranco Mella, Jaime Asís, Silvia E. Mellado, Marco Malaria is an infectious disease caused by Plasmodium spp. parasites, with widespread drug resistance to most antimalarial drugs. We report the development of two 3D-QSAR models based on comparative molecular field analysis (CoMFA), comparative molecular similarity index analysis (CoMSIA), and a 2D-QSAR model, using a database of 349 compounds with activity against the P. falciparum 3D7 strain. The models were validated internally and externally, complying with all metrics (q2 > 0.5, r2test > 0.6, r2m > 0.5, etc.). The final models have shown the following statistical values: r2test CoMFA = 0.878, r2test CoMSIA = 0.876, and r2test 2D-QSAR = 0.845. The models were experimentally tested through the synthesis and biological evaluation of ten quinoline derivatives against P. falciparum 3D7. The CoMSIA and 2D-QSAR models outperformed CoMFA in terms of better predictive capacity (MAE = 0.7006, 0.4849, and 1.2803, respectively). The physicochemical and pharmacokinetic properties of three selected quinoline derivatives were similar to chloroquine. Finally, the compounds showed low cytotoxicity (IC50 > 100 µM) on human HepG2 cells. These results suggest that the QSAR models accurately predict the toxicological profile, correlating well with experimental in vivo data. 2024-08-27T07:18:06Z 2024-08-27T07:18:06Z 2024-08-27T07:18:06Z 2024-07-04 journal article https://hdl.handle.net/20.500.14352/107692 XXXX-XXXX 10.3390/ph17070889 1424-8247 eng PROYECTO PUENTE UVA 22991 Lorca, M.; Muscia, G.C.; Pérez-Benavente, S.; Bautista, J.M.; Acosta, A.; González, C.; Sabadini, G.; Mella, J.; Asís, S.E.; Mellado, M. 2D/3D-QSAR Model Development Based on a Quinoline Pharmacophoric Core for the Inhibition of Plasmodium falciparum: An In Silico Approach with Experimental Validation. Pharmaceuticals 2024, 17, 889. https://doi.org/10.3390/ph17070889 http://creativecommons.org/licenses/by/4.0/ open access Attribution 4.0 International MDPI