APA (7th ed.) Citation

Fortela, D. L. B., Mikolajczyk, A. P., Carnes, M. R., Sharp, W., Revellame, E., Hernandez, R., . . . Zappi, M. (2023, August 6). Predicting Molecular Docking Affinity of Per- and Polyfluoroalkyl Substances (PFAs) Towards Human Blood Proteins Using Generative AI Algorithm DiffDock bioRxiv. https://doi.org/10.1101/2023.08.03.551898

Chicago Style (17th ed.) Citation

Fortela, Dhan Lord B., Ashley P. Mikolajczyk, Miranda R. Carnes, Wayne Sharp, Emmanuel Revellame, Rafael Hernandez, William Holmes, and Mark Zappi. "Predicting Molecular Docking Affinity of Per- and Polyfluoroalkyl Substances (PFAs) Towards Human Blood Proteins Using Generative AI Algorithm DiffDock." BioRxiv 6 Aug. 2023. https://doi.org/10.1101/2023.08.03.551898.

MLA (9th ed.) Citation

Fortela, Dhan Lord B., et al. "Predicting Molecular Docking Affinity of Per- and Polyfluoroalkyl Substances (PFAs) Towards Human Blood Proteins Using Generative AI Algorithm DiffDock." BioRxiv, 6 Aug. 2023, https://doi.org/10.1101/2023.08.03.551898.