APA (7th ed.) Citation

Bell, D. R., Domeniconi, G., Yang, C., Zhou, R., Zhang, L., & Cong, G. (2021). Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO. Journal of chemical theory and computation, 17(12), 7962. https://doi.org/10.1021/acs.jctc.1c00870

Chicago Style (17th ed.) Citation

Bell, David R., Giacomo Domeniconi, Chih-Chieh Yang, Ruhong Zhou, Leili Zhang, and Guojing Cong. "Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO." Journal of Chemical Theory and Computation 17, no. 12 (2021): 7962. https://doi.org/10.1021/acs.jctc.1c00870.

MLA (9th ed.) Citation

Bell, David R., et al. "Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO." Journal of Chemical Theory and Computation, vol. 17, no. 12, 2021, p. 7962, https://doi.org/10.1021/acs.jctc.1c00870.