Generalized biomolecular modeling and design with RoseTTAFold All-Atom

Deep-learning methods have revolutionized protein structure prediction and design but are presently limited to protein-only systems. We describe RoseTTAFold All-Atom (RFAA), which combines a residue-based representation of amino acids and DNA bases with an atomic representation of all other groups t...

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Veröffentlicht in:	Science (American Association for the Advancement of Science) Jg. 384; H. 6693; S. eadl2528
Hauptverfasser:	Krishna, Rohith, Wang, Jue, Ahern, Woody, Sturmfels, Pascal, Venkatesh, Preetham, Kalvet, Indrek, Lee, Gyu Rie, Morey-Burrows, Felix S, Anishchenko, Ivan, Humphreys, Ian R, McHugh, Ryan, Vafeados, Dionne, Li, Xinting, Sutherland, George A, Hitchcock, Andrew, Hunter, C Neil, Kang, Alex, Brackenbrough, Evans, Bera, Asim K, Baek, Minkyung, DiMaio, Frank, Baker, David
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 19.04.2024
Schlagworte:	Amino Acids - chemistry Crystallography Deep Learning DNA - chemistry Models, Molecular Protein Engineering - methods Proteins - chemistry
ISSN:	1095-9203, 1095-9203
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