Rataj, K.; Kelemen, Á.A.; Brea, J.; Loza, M.I.; Bojarski, A.J.; Keserű, G.M.
Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands. Molecules 2018, 23, 1137.
https://doi.org/10.3390/molecules23051137
AMA Style
Rataj K, Kelemen ÁA, Brea J, Loza MI, Bojarski AJ, Keserű GM.
Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands. Molecules. 2018; 23(5):1137.
https://doi.org/10.3390/molecules23051137
Chicago/Turabian Style
Rataj, Krzysztof, Ádám Andor Kelemen, José Brea, María Isabel Loza, Andrzej J. Bojarski, and György Miklós Keserű.
2018. "Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands" Molecules 23, no. 5: 1137.
https://doi.org/10.3390/molecules23051137
APA Style
Rataj, K., Kelemen, Á. A., Brea, J., Loza, M. I., Bojarski, A. J., & Keserű, G. M.
(2018). Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands. Molecules, 23(5), 1137.
https://doi.org/10.3390/molecules23051137