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

Abstract

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.

Publication DOI: https://doi.org/10.1515/hsz-2021-0384
Divisions: College of Health & Life Sciences > School of Biosciences
College of Health & Life Sciences
Additional Information: © 2022 Florian J. Gisdon et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License. Funding: This work was supported by H2020-FETopen-RIA grant agreement 764434 (‘PRe-ART’)
Uncontrolled Keywords: Clinical Biochemistry,Molecular Biology,Biochemistry
Publication ISSN: 1437-4315
Last Modified: 26 Feb 2024 08:41
Date Deposited: 07 Feb 2022 09:41
Full Text Link:
Related URLs: https://www.deg ... -2021-0384/html (Publisher URL)
PURE Output Type: Review article
Published Date: 2022-04-01
Published Online Date: 2022-01-28
Accepted Date: 2022-01-11
Authors: Gisdon, Florian J.
Kynast, Josef P.
Ayyildiz, Merve
Hine, Anna V. (ORCID Profile 0000-0003-4065-831X)
Plückthun, Andreas
Höcker, Birte

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