Rio, A.L.-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, 652.
https://doi.org/10.3390/proceedings1060652
AMA Style
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
Chicago/Turabian Style
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
APA Style
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
