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Modular peptide binders : development of a predictive technology as alternative for reagent antibodies

Title data

Gisdon, Florian J. ; Kynast, Josef ; Ayyildiz, Merve ; Hine, Anna V. ; Plückthun, Andreas ; Höcker, Birte:
Modular peptide binders : development of a predictive technology as alternative for reagent antibodies.
In: Biological Chemistry. Vol. 403 (2022) Issue 5-6 . - pp. 535-543.
ISSN 1437-4315
DOI: https://doi.org/10.1515/hsz-2021-0384

Abstract in another language

Current biomedical research and diagnostics critically depend on detection agents for specific recognition and quantification of protein molecules. Monoclonal antibodies have been used for this purpose over decades and facilitated numerous biological and biomedical investigations. Recently, however, it has become apparent that many commercial reagent antibodies lack specificity or do not recognize their target at all. Thus, synthetic alternatives are needed whose complex designs are facilitated by multidisciplinary approaches incorporating experimental protein engineering with computational modeling. Here, we review the status of such an engineering endeavor based on the modular armadillo repeat protein scaffold and discuss challenges in its implementation.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: affinity reagent; armadillo repeat proteins; computational design; directed evolution; library generation; protein-peptide interface
Institutions of the University: Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biochemistry
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biochemistry > Chair Biochemistry - Univ.-Prof. Dr. Birte Höcker
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Professorship Biochemistry
Result of work at the UBT: Yes
DDC Subjects: 500 Science
500 Science > 500 Natural sciences
500 Science > 540 Chemistry
500 Science > 570 Life sciences, biology
Date Deposited: 09 Dec 2022 06:42
Last Modified: 09 Dec 2022 09:55
URI: https://eref.uni-bayreuth.de/id/eprint/72982