BETA: Related publications
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| Höcker B, Lu P, Glasgow A, et al. (2023) How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design? Cell Systems. 14: 629-632 |
| Koehler Leman J, Lyskov S, Lewis SM, et al. (2021) Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks. Nature Communications. 12: 6947 |
| Badaczewska-Dawid AE, Khramushin A, Kolinski A, et al. (2020) Protocols for All-Atom Reconstruction and High-Resolution Refinement of Protein-Peptide Complex Structures. Methods in Molecular Biology (Clifton, N.J.). 2165: 273-287 |
| Leman JK, Weitzner BD, Lewis SM, et al. (2020) Macromolecular modeling and design in Rosetta: recent methods and frameworks. Nature Methods |
| Koehler Leman J, Weitzner BD, Renfrew PD, et al. (2020) Better together: Elements of successful scientific software development in a distributed collaborative community. Plos Computational Biology. 16: e1007507 |
| Leman JK, Weitzner BD, Renfrew PD, et al. (2020) Members of the RosettaCommons Consortium. Plos Computational Biology |
| Leman JK, Weitzner BD, Renfrew PD, et al. (2020) Details of Remaining Collective Challenges. Plos Computational Biology |
| Leman JK, Weitzner BD, Renfrew PD, et al. (2020) Commercial spin-off companies from the Rosetta community. Plos Computational Biology |
| Leman JK, Weitzner BD, Renfrew PD, et al. (2020) Values Statement: Equality and Inclusion in the RosettaCommons. Plos Computational Biology |
| Leman JK, Weitzner BD, Renfrew PD, et al. (2020) Descriptions of the Rosetta board positions. Plos Computational Biology |