Inferring protein 3D structure from deep mutation scans von Rollins, Nathan J., Brock, Kelly P., Poelwijk, Frank J., Stiffler, Michael A., Gauthier, Nicholas P., Sander, Chris, Marks, Debora S.

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Learning from prepandemic data to forecast viral escape von Thadani, Nicole N., Gurev, Sarah, Notin, Pascal, Youssef, Noor, Rollins, Nathan J., Ritter, Daniel, Sander, Chris, Gal, Yarin, Marks, Debora S.

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Multiplexed measurement of variant abundance and activity reveals VKOR topology, active site and human variant impact von Chiasson, Melissa A., Rollins, Nathan J., Stephany, Jason J., Sitko, Katherine A., Matreyek, Kenneth A., Verby, Marta, Sun, Song, Roth, Frederick P., DeSloover, Daniel, Marks, Debora S., Rettie, Allan E., Fowler, Douglas M.

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Exploring targeting peptide-shell interactions in encapsulin nanocompartments von Altenburg, Wiggert J., Rollins, Nathan, Silver, Pamela A., Giessen, Tobias W.

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Protein design using structure-based residue preferences von Ding, David, Shaw, Ada Y., Sinai, Sam, Rollins, Nathan, Prywes, Noam, Savage, David F., Laub, Michael T., Marks, Debora S.

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Games for groundwater governance: field experiments in Andhra Pradesh, India von Meinzen-Dick, Ruth, Chaturvedi, Rahul, Domènech, Laia, Ghate, Rucha, Janssen, Marco A., Rollins, Nathan D., Sandeep, K

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A Computational Model Library for publishing model documentation and code von Rollins, Nathan D., Barton, C. Michael, Bergin, Sean, Janssen, Marco A., Lee, Allen

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Explaining success and failure in the commons: the configural nature of Ostrom’s institutional design principles von Baggio, Jacopo A., Barnett, Allain J., Perez-Ibara, Irene, Brady, Ute, Ratajczyk, Elicia, Rollins, Nathan, Rubiños, Cathy, Shin, Hoon C., Yu, David J., Aggarwal, Rimjhim, Anderies, John M., Janssen, Marco A.

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Irrigation experiments in the lab: trust, environmental variability, and collective action von Baggio, Jacopo A., Rollins, Nathan D., Pérez, Irene, Janssen, Marco A.

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Natural and Designed Proteins Inspired by Extremotolerant Organisms Can Form Condensates and Attenuate Apoptosis in Human Cells von Veling, Mike T, Nguyen, Dan T, Thadani, Nicole N, Oster, Michela E, Rollins, Nathan J, Brock, Kelly P, Bethel, Neville P, Lim, Samuel, Baker, David, Way, Jeffrey C, Marks, Debora S, Chang, Roger L, Silver, Pamela A

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High-Content Screening and Computational Prediction Reveal Viral Genes That Suppress the Innate Immune Response von Ng, Tai L, Olson, Erika J, Yoo, Tae Yeon, Weiss, H Sloane, Koide, Yukiye, Koch, Peter D, Rollins, Nathan J, Mach, Pia, Meisinger, Tobias, Bricken, Trenton, Chang, Timothy Z, Molloy, Colin, Zürcher, Jérôme, Chang, Roger L, Mitchison, Timothy J, Glass, John I, Marks, Debora S, Way, Jeffrey C, Silver, Pamela A

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Machine learning for functional protein design von Notin, Pascal, Rollins, Nathan, Gal, Yarin, Sander, Chris, Marks, Debora

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Evolution of cooperation in asymmetric commons dilemmas von Janssen, Marco A., Rollins, Nathan D.

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Challenges and opportunities in coding the commons: problems, procedures, and potential solutions in large-N comparative case studies von Ratajczyk, Elicia, Brady, Ute, Baggio, Jacopo A., Barnett, Allain J., Perez-Ibara, Irene, Rollins, Nathan, Rubiños, Cathy, Shin, Hoon C., Yu, David J., Aggarwal, Rimjhim, Anderies, John M., Janssen, Marco A.

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An iterative approach to case study analysis: insights from qualitative analysis of quantitative inconsistencies von Barnett, Allain J., Baggio, Jacopo A., Shin, Hoon C., Yu, David J., Perez-Ibarra, Irene, Rubiños, Cathy, Brady, Ute, Ratajczyk, Elicia, Rollins, Nathan, Aggarwal, Rimjhim, Anderies, John M., Janssen, Marco A.

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In vitro assay development to assess successful removal of T and B cell epitopes through Seismic’s IMPACT platform von Newton, Andita P, Pellerin, Alex, Anderson, Jordan, Rollins, Nathan, Hollfelder, Melissa, Peckner, Ryan, Higginson-Scott, Nathan, Otipoby, Kevin, Mascanfroni, Ivan

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Learning from prepandemic data to forecast viral escape von Thadani, Nicole, Gurev, Sarah, Notin, Pascal, Youssef, Noor, Rollins, Nathan, Ritter, Daniel, Sander, Chris, Gal, Yarin, Marks, Debora

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Preclinical Pharmacology of S-1117, a Novel Engineered Fc-fused IgG Cleaving Enzyme, for Chronic Treatment of Autoantibody-mediated Diseases (P4-14.018) von Mascanfroni, Ivan, Manasson, Julia, Pellerin, Alex, Sanmarco, Liliana, Anderson, Jordan, Rollins, Nathan, Newton, Andita, Peckner, Ryan, Xing, Yi, Higginson-Scott, Nathan, Sundy, John, Otipoby, Kevin

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Preclinical pharmacology of S-1117, a novel engineered Fc-fused IgG cleaving enzyme, for chronic treatment of autoantibody-mediated diseases von Sanmarco, Liliana, Pellerin, Alex, Anderson, Jordan, Rollins, Nathan, Newton, Andita, Green, Tobias, Le, Nam, Peckner, Ryan, Mande, Purvi, Xing, Xi, Manasson, Julia, Higginson-Scott, Nathan, Sundy, John, Otipoby, Kevin, Mascanfroni, Ivan

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The promise of machine learning: using Seismic’s IMPACT platform to design IgG cleaving enzymes for chronic treatment of autoimmune diseases von Pellerin, Alex, Anderson, Jordan, Rollins, Nathan, Sanmarco, Liliana, Newton, Andita, Le, Nam, Shin, June, Hoel, Chris, Cianci, Michael, Hoyt, Emily, Mojta, Shanell, Hollfelder, Melissa, Cipoletta, Daniela, Peckner, Ryan, Higginson-Scott, Nathan, Otipoby, Kevin, Mascanfroni, Ivan

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