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

Type Information
Nr 5 (Review)
Authors Leman, Julia; Weitzner, Brian; Lewis, Steven; Adolf-Bryfogle, Jared; Alam, Nawsad; Alford, Rebecca; Aprahamian, Melanie; Baker, David; Barlow, Kyle; Barth, Patrick; Basanta, Benjamin; Bender, Brian; Blacklock, Kristin; Bonet, Jaume; Boyken, Scott; Bradley, Phil; Bystroff, Chris; Conway, Patrick; Cooper, Seth; Correia, Bruno; Coventry, Brian; Das, Rhiju; De Jong, René; DiMaio, Frank; Dsilva, Lorna; Dunbrack, Roland; Ford, Alexander; Frenz, Brandon; Fu, Darwin; Geniesse, Caleb; Goldschmidt, Lukasz; Gowthaman, Ragul; Gray, Jeffrey; Gront, Dominik; Guffy, Sharon; Horowitz, Scott; Huang, Po-Ssu; Huber, Thomas; Jacobs, Tim; Jeliazkov, Jeliazko; Johnson, David; Kappel, Kalli; Karanicolas, John; Khakzad, Hamed; Khar, Karen; Khare, Sagar; Khatib, Firas; Khramushin, Alisa; King, Indigo; Kleffner, Robert; Koepnick, Brian; Kortemme, Tanja; Kuenze, Georg; Kuhlman, Brian; Kuroda, Daisuke; Labonte, Jason; Lai, Jason; Lapidoth, Gideon; Leaver-Fay, Andrew; Lindert, Steffen; Linsky, Thomas; London, Nir; Lubin, Joseph; Lyskov, Sergey; Maguire, Jack; Malmström, Lars; Marcos, Enrique; Marcu, Orly; Marze, Nicholas; Meiler, Jens; Moretti, Rocco; Mulligan, Vikram; Nerli, Santrupti; Norn, Christoffer; ÓConchúir, Shane; Ollikainen, Noah; Ovchinnikov, Sergey; Pacella, Michael; Pan, Xingjie; Park, Hahnbeom; Pavlovicz, Ryan; Pethe, Manasi; Pierce, Brian; Pilla, Kala; Raveh, Barak; Renfrew, P; Burman, Shourya; Rubenstein, Aliza; Sauer, Marion; Scheck, Andreas; Schief, William; Schueler-Furman, Ora; Sedan, Yuval; Sevy, Alexander; Sgourakis, Nikolaos; Shi, Lei; Siegel, Justin; Silva, Daniel-Adriano; Smith, Shannon; Song, Yifan; Stein, Amelie; Szegedy, Maria; Teets, Frank; Thyme, Summer; Wang, Ray; Watkins, Andrew; Zimmerman, Lior; Bonneau, Richard
Title Macromolecular modeling and design in Rosetta: recent methods and frameworks.
Journal Nat Methods (2020) -1
DOI 10.1038/s41592-020-0848-2
Citations 84 citations (journal impact: 28.47)
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 httpwww.rosettacommons.org.