Weitzner, Brian D.

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

De novo design of potent and selective mimics of IL-2 and IL-15

Silva, D.-A., Yu, S., Ulge, U. Y., Spangler, J. B., Jude, K. M., Labão-Almeida, C., Ali, L. R., Quijano-Rubio, A., Ruterbusch, M., Leung, I., et al. (2019) · Nature

Protein Structure and DynamicsChemical Synthesis and Analysis

Cited by 531

OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization

Ahdritz, G., Bouatta, N., Floristean, C., Kadyan, S., Xia, Q., Gerecke, W., O’Donnell, T. J., Berenberg, D., Fisk, I., Zanichelli, N., et al. (2024) · Nature Methods

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 439

RosettaAntibodyDesign (RAbD): a general framework for computational antibody design

Adolf-Bryfogle, J., Kalyuzhniy, O., Kubitz, M., Weitzner, B. D., Hu, X., Adachi, Y., Schief, W. R., & Dunbrack, R. L. (2018) · PLoS Computational Biology

Protein Structure and DynamicsMonoclonal and Polyclonal Antibodies Research

Cited by 227

Designing Peptides on a Quantum Computer

Mulligan, V. K., Melo, H., Merritt, H. I., Slocum, S., Weitzner, B. D., Watkins, A. M., Renfrew, P. D., Pelissier, C., Arora, P. S., & Bonneau, R. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Protein Structure and DynamicsQuantum Computing Algorithms and Architecture

Cited by 67