Article Versions Notes

Flores-Balmaseda N, Rojas-Vargas JA, Rojas-Socarrás S, Pérez-Giménez F, Torrens F, Castillo-Garit JA. Machine Learning-Based QSAR Models for Discovery of Inhibitors Targeting Leishmania infantum Amastigotes. Pharmaceuticals. 2026; 19(4):588. https://doi.org/10.3390/ph19040588

Flores-Balmaseda, Naivi, Julio A. Rojas-Vargas, Susana Rojas-Socarrás, Facundo Pérez-Giménez, Francisco Torrens, and Juan A. Castillo-Garit. 2026. "Machine Learning-Based QSAR Models for Discovery of Inhibitors Targeting Leishmania infantum Amastigotes" Pharmaceuticals 19, no. 4: 588. https://doi.org/10.3390/ph19040588

Flores-Balmaseda, N., Rojas-Vargas, J. A., Rojas-Socarrás, S., Pérez-Giménez, F., Torrens, F., & Castillo-Garit, J. A. (2026). Machine Learning-Based QSAR Models for Discovery of Inhibitors Targeting Leishmania infantum Amastigotes. Pharmaceuticals, 19(4), 588. https://doi.org/10.3390/ph19040588