Article Versions Notes

Alcázar JJ, Sánchez I, Merino C, Monasterio B, Sajuria G, Miranda D, Díaz F, Campodónico PR. A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC₅₀ Inhibition Values of FLT3 Tyrosine Kinase. Pharmaceuticals. 2025; 18(1):96. https://doi.org/10.3390/ph18010096

Alcázar, Jackson J., Ignacio Sánchez, Cristian Merino, Bruno Monasterio, Gaspar Sajuria, Diego Miranda, Felipe Díaz, and Paola R. Campodónico. 2025. "A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC₅₀ Inhibition Values of FLT3 Tyrosine Kinase" Pharmaceuticals 18, no. 1: 96. https://doi.org/10.3390/ph18010096

Alcázar, J. J., Sánchez, I., Merino, C., Monasterio, B., Sajuria, G., Miranda, D., Díaz, F., & Campodónico, P. R. (2025). A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC₅₀ Inhibition Values of FLT3 Tyrosine Kinase. Pharmaceuticals, 18(1), 96. https://doi.org/10.3390/ph18010096