Rosetta FunFolDes - A general framework for the computational design of functional proteins

The robust computational design of functional proteins has the potential to deeply impact translational research and broaden our understanding of the determinants of protein function and stability. The low success rates of computational design protocols and the extensive in vitro optimization often...

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Veröffentlicht in:	PLoS computational biology 2018-11, Vol.14 (11), p.e1006623-e1006623
Hauptverfasser:	Bonet, Jaume, Wehrle, Sarah, Schriever, Karen, Yang, Che, Billet, Anne, Sesterhenn, Fabian, Scheck, Andreas, Sverrisson, Freyr, Veselkova, Barbora, Vollers, Sabrina, Lourman, Roxanne, Villard, Mélanie, Rosset, Stéphane, Krey, Thomas, Correia, Bruno E
Format:	Artikel
Sprache:	eng
Schlagworte:	Amino Acid Motifs Antibodies Antibodies, Monoclonal - chemistry Antigenic determinants Benchmarking Benchmarks Binding Biochemistry Bioengineering Bioinformatics Biology and Life Sciences Catalysis Complexity Computation Computational Biology - methods Computer applications Design Engineering and Technology Epitopes Epitopes - chemistry Folding Functionals Humans Methods Models, Molecular Monoclonal antibodies Optimization Physical sciences Physiological aspects Protein Binding Protein engineering Protein Engineering - methods Protein Folding Protein structure Proteins Proteins - chemistry Research and Analysis Methods Software Stability Structure-function relationships Vaccines Virology
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