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Rosetta:MSF: a modular framework for multi-state computational protein design

Merkl, Rainer, Löffler, Patrick , Schmitz, Samuel, Hupfeld, Enrico and Sterner, Reinhard (2017) Rosetta:MSF: a modular framework for multi-state computational protein design. PLOS Computational Biology 13 (6), e1005600.

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Date of publication of this fulltext: 17 Jan 2018 13:43

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Other URL: http://doi.org/10.1371/journal.pcbi.1005600, http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005600

Dieser Artikel ist in einer Zeitschrift aus dem Directory of Open Access (DOAJ) publiziert.


Abstract

Computational protein design (CPD) is a powerful technique to engineer existing proteins or to design novel ones that display desired properties. Rosetta is a software suite including algorithms for computational modeling and analysis of protein structures and offers many elaborate protocols created to solve highly specific tasks of protein engineering. Most of Rosetta's protocols optimize ...

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Item type:Article
Date:12 June 2017
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Reinhard Sterner
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Rainer Merkl
Projects:Open Access Publizieren (DFG)
Identification Number:
ValueType
10.1371/journal.pcbi.1005600DOI
Keywords:DE-NOVO DESIGN; INTERACTION SPECIFICITY; ENERGY FUNCTIONS; BINDING PROTEIN; STABILITY; SEQUENCE; OPTIMIZATION; ENSEMBLES; REDESIGN; ENZYMES;
Dewey Decimal Classification:500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:36519
Owner only: item control page

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