Stabilizing proteins, simplified: A Rosetta-based webtool for predicting favorable mutations.

Thieker, David F; Maguire, Jack B; Kudlacek, Stephan T; Leaver-Fay, Andrew; Lyskov, Sergey; Kuhlman, Brian

Thieker, David F; Maguire, Jack B; Kudlacek, Stephan T; Leaver-Fay, Andrew; Lyskov, Sergey; Kuhlman, Brian.

Afiliación

Thieker DF; Department of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Maguire JB; Department of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Kudlacek ST; Department of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Leaver-Fay A; Department of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Lyskov S; Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Kuhlman B; Department of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.

Protein Sci ; 31(10): e4428, 2022 10.

Article en En | MEDLINE | ID: mdl-36173174

Asunto(s)

Ingeniería de Proteínas; Proteínas; Modelos Moleculares; Mutación; Ingeniería de Proteínas/métodos; Proteínas/química; Proteínas/genética; Termodinámica

Palabras clave

Rosetta molecular modeling program; molecular modeling; protein design; protein engineering; protein stability

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ingeniería de Proteínas / Proteínas Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Protein Sci Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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