Population-specific design of de-immunized protein biotherapeutics.

Schubert, Benjamin; Schärfe, Charlotta; Dönnes, Pierre; Hopf, Thomas; Marks, Debora; Kohlbacher, Oliver

Schubert, Benjamin; Schärfe, Charlotta; Dönnes, Pierre; Hopf, Thomas; Marks, Debora; Kohlbacher, Oliver.

Affiliation

Schubert B; Center for Bioinformatics, University of Tübingen, Tübingen, Germany.
Schärfe C; Applied Bioinformatics, Dept. of Computer Science, Tübingen, Germany.
Dönnes P; Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Hopf T; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Marks D; Center for Bioinformatics, University of Tübingen, Tübingen, Germany.
Kohlbacher O; Applied Bioinformatics, Dept. of Computer Science, Tübingen, Germany.

PLoS Comput Biol ; 14(3): e1005983, 2018 03.

Article in En | MEDLINE | ID: mdl-29499035

Subject(s)

Antibodies, Monoclonal/immunology; Antibodies, Monoclonal/therapeutic use; Computational Biology/methods; Protein Engineering/methods; Recombinant Proteins/immunology; Recombinant Proteins/therapeutic use; Amino Acid Sequence; Antibodies, Monoclonal/chemistry; Antibodies, Monoclonal/genetics; Humans; Recombinant Proteins/chemistry; Recombinant Proteins/genetics

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Recombinant Proteins / Protein Engineering / Computational Biology / Antibodies, Monoclonal Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2018 Type: Article Affiliation country: Germany

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