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Publication Detail

Title: Macromolecular modeling and design in Rosetta: recent methods and frameworks.

Authors: Leman, Julia Koehler; Weitzner, Brian D; Lewis, Steven M; Adolf-Bryfogle, Jared; Alam, Nawsad; Alford, Rebecca F; Aprahamian, Melanie; Baker, David; Barlow, Kyle A; Barth, Patrick; Basanta, Benjamin; Bender, Brian J; Blacklock, Kristin; Bonet, Jaume; Boyken, Scott E; Bradley, Phil; Bystroff, Chris; Conway, Patrick; Cooper, Seth; Correia, Bruno E; Coventry, Brian; Das, Rhiju; De Jong, René M; DiMaio, Frank; Dsilva, Lorna; Dunbrack, Roland; Ford, Alexander S; Frenz, Brandon; Fu, Darwin Y; Geniesse, Caleb; Goldschmidt, Lukasz; Gowthaman, Ragul; Gray, Jeffrey J; Gront, Dominik; Guffy, Sharon; Horowitz, Scott; Huang, Po-Ssu; Huber, Thomas; Jacobs, Tim M; Jeliazkov, Jeliazko R; Johnson, David K; Kappel, Kalli; Karanicolas, John; Khakzad, Hamed; Khar, Karen R; Khare, Sagar D; Khatib, Firas; Khramushin, Alisa; King, Indigo C; Kleffner, Robert; Koepnick, Brian; Kortemme, Tanja; Kuenze, Georg; Kuhlman, Brian; Kuroda, Daisuke; Labonte, Jason W; Lai, Jason K; Lapidoth, Gideon; Leaver-Fay, Andrew; Lindert, Steffen; Linsky, Thomas; London, Nir; Lubin, Joseph H; Lyskov, Sergey; Maguire, Jack; Malmström, Lars; Marcos, Enrique; Marcu, Orly; Marze, Nicholas A; Meiler, Jens; Moretti, Rocco; Mulligan, Vikram Khipple; Nerli, Santrupti; Norn, Christoffer; Ó'Conchúir, Shane; Ollikainen, Noah; Ovchinnikov, Sergey; Pacella, Michael S; Pan, Xingjie; Park, Hahnbeom; Pavlovicz, Ryan E; Pethe, Manasi; Pierce, Brian G; Pilla, Kala Bharath; Raveh, Barak; Renfrew, P Douglas; Burman, Shourya S Roy; Rubenstein, Aliza; Sauer, Marion F; Scheck, Andreas; Schief, William; Schueler-Furman, Ora; Sedan, Yuval; Sevy, Alexander M; Sgourakis, Nikolaos G; Shi, Lei; Siegel, Justin B; Silva, Daniel-Adriano; Smith, Shannon; Song, Yifan; Stein, Amelie; Szegedy, Maria; Teets, Frank D; Thyme, Summer B; Wang, Ray Yu-Ruei; Watkins, Andrew; Zimmerman, Lior; Bonneau, Richard

Published In Nat Methods, (2020 07)

Abstract: The Rosetta software for macromolecular modeling, docking and design is extensively used in laboratories worldwide. During two decades of development by a community of laboratories at more than 60 institutions, Rosetta has been continuously refactored and extended. Its advantages are its performance and interoperability between broad modeling capabilities. Here we review tools developed in the last 5 years, including over 80 methods. We discuss improvements to the score function, user interfaces and usability. Rosetta is available at

PubMed ID: 32483333 Exiting the NIEHS site

MeSH Terms: Macromolecular Substances/chemistry*; Models, Molecular*; Molecular Docking Simulation; Peptidomimetics/chemistry; Protein Conformation; Proteins/chemistry*; Software*

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