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Rio AL-D, Llorach-Parés L, Perera-Lluna A, Avila C, Nonell-Canals A, Sanchez-Martinez M. Machine-Learning QSAR Model for Predicting Activity against Malaria Parasite’s Ion Pump PfATP4 and In Silico Binding Assay Validation. Proceedings. 2017; 1(6):652. https://doi.org/10.3390/proceedings1060652

Rio, Angela Lopez-Del, Laura Llorach-Parés, Alexandre Perera-Lluna, Conxita Avila, Alfons Nonell-Canals, and Melchor Sanchez-Martinez. 2017. "Machine-Learning QSAR Model for Predicting Activity against Malaria Parasite’s Ion Pump PfATP4 and In Silico Binding Assay Validation" Proceedings 1, no. 6: 652. https://doi.org/10.3390/proceedings1060652

Rio, A. L.-D., Llorach-Parés, L., Perera-Lluna, A., Avila, C., Nonell-Canals, A., & Sanchez-Martinez, M. (2017). Machine-Learning QSAR Model for Predicting Activity against Malaria Parasite’s Ion Pump PfATP4 and In Silico Binding Assay Validation. Proceedings, 1(6), 652. https://doi.org/10.3390/proceedings1060652