Koepnick, Brian

Robust deep learning–based protein sequence design using ProteinMPNN

Dauparas, J., Anishchenko, I., Bennett, N., Bai, H., Ragotte, R. J., Milles, L. F., Wicky, B. I. M., Courbet, A., de Haas, R. J., Bethel, N., et al. (2022) · Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 2,210

Robust deep learning based protein sequence design using ProteinMPNN

Dauparas, J., Anishchenko, I., Bennett, N., Bai, H., Ragotte, R. J., Milles, L. F., Wicky, B. I. M., Courbet, A., de Haas, R. J., Bethel, N., et al. (2022) · Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 2,107

Macromolecular modeling and design in Rosetta: recent methods and frameworks

Leman, J. K., Weitzner, B. D., Lewis, S. M., Adolf-Bryfogle, J., Alam, N., Alford, R. F., Aprahamian, M., Baker, D., Barlow, K. A., Barth, P., et al. (2020) · Nature Methods

Protein Structure and DynamicsComputational Drug Discovery Methods

Cited by 888

Protein sequence design by conformational landscape optimization

Norn, C., Wicky, B. I. M., Juergens, D., Liu, S., Kim, D., Tischer, D., Koepnick, B., Anishchenko, I., Players, F., Baker, D., et al. (2021) · Proceedings of the National Academy of Sciences

Protein Structure and DynamicsRNA and protein synthesis mechanisms

Cited by 144

Determining crystal structures through crowdsourcing and coursework

Horowitz, S., Koepnick, B., Martin, R., Tymieniecki, A., Winburn, A. A., Cooper, S., Flatten, J., Rogawski, D. S., Koropatkin, N. M., Hailu, T. T., et al. (2016) · Nature Communications

Enzyme Structure and FunctionProtein Structure and Dynamics

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