Cite
A Blueprint for High Affinity SARS-CoV‑2 Mpro Inhibitors from Activity-Based Compound Library Screening Guided by Analysis of Protein Dynamics.
MLA
Gossen, Jonas, et al. “A Blueprint for High Affinity SARS-CoV‑2 Mpro Inhibitors from Activity-Based Compound Library Screening Guided by Analysis of Protein Dynamics.” ACS Pharmacology & Translational Science, vol. 4, no. 3, June 2021, pp. 1079–95. EBSCOhost, https://doi.org/10.1021/acsptsci.0c00215.
APA
Gossen, J., Albani, S., Hanke, A., Joseph, B. P., Bergh, C., Kuzikov, M., Costanzi, E., Manelfi, C., Storici, P., Gribbon, P., Beccari, A. R., Talarico, C., Spyrakis, F., Lindahl, E., Zaliani, A., Carloni, P., Wade, R. C., Musiani, F., Kokh, D. B., & Rossetti, G. (2021). A Blueprint for High Affinity SARS-CoV‑2 Mpro Inhibitors from Activity-Based Compound Library Screening Guided by Analysis of Protein Dynamics. ACS Pharmacology & Translational Science, 4(3), 1079–1095. https://doi.org/10.1021/acsptsci.0c00215
Chicago
Gossen, Jonas, Simone Albani, Anton Hanke, Benjamin P. Joseph, Cathrine Bergh, Maria Kuzikov, Elisa Costanzi, et al. 2021. “A Blueprint for High Affinity SARS-CoV‑2 Mpro Inhibitors from Activity-Based Compound Library Screening Guided by Analysis of Protein Dynamics.” ACS Pharmacology & Translational Science 4 (3): 1079–95. doi:10.1021/acsptsci.0c00215.