APA (7th ed.) Citation

Veit-Acosta, M., & de Azevedo Junior, W. F. (2021). The Impact of Crystallographic Data for the Development of Machine Learning Models to Predict Protein-Ligand Binding Affinity. Current medicinal chemistry, 28(34), 7006. https://doi.org/10.2174/0929867328666210210121320

Chicago Style (17th ed.) Citation

Veit-Acosta, Martina, and Walter Filgueira de Azevedo Junior. "The Impact of Crystallographic Data for the Development of Machine Learning Models to Predict Protein-Ligand Binding Affinity." Current Medicinal Chemistry 28, no. 34 (2021): 7006. https://doi.org/10.2174/0929867328666210210121320.

MLA (9th ed.) Citation

Veit-Acosta, Martina, and Walter Filgueira de Azevedo Junior. "The Impact of Crystallographic Data for the Development of Machine Learning Models to Predict Protein-Ligand Binding Affinity." Current Medicinal Chemistry, vol. 28, no. 34, 2021, p. 7006, https://doi.org/10.2174/0929867328666210210121320.