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Design of antibody variable fragments with reduced reactivity to preexisting anti-drug antibodies
Upon reformatting of an antibody to single-chain variable fragment format, a region in the former variable/constant domain interface of the heavy chain becomes accessible for preexisting (PE) anti-drug antibody (ADA) binding. The region exposed because of this reformatting contains a previously hidd...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269415/ https://www.ncbi.nlm.nih.gov/pubmed/37312434 http://dx.doi.org/10.1080/19420862.2023.2215887 |
Sumario: | Upon reformatting of an antibody to single-chain variable fragment format, a region in the former variable/constant domain interface of the heavy chain becomes accessible for preexisting (PE) anti-drug antibody (ADA) binding. The region exposed because of this reformatting contains a previously hidden hydrophobic patch. In this study, mutations are introduced in this region to reduce PE ADA reactivity and concomitantly reduce the hydrophobic patch. To enhance our understanding of the importance of individual residues in this region with respect to PE ADA reactivity, a total of 50 molecules for each of two antibodies against different tumor-associated antigens were designed, produced, and characterized by an arsenal of biophysical methods. The aim was to identify suitable mutations that reduce, or completely eliminate, PE ADA reactivity to variable fragments, without compromising biophysical and pharmacodynamic properties. Computational methods were used to pinpoint key residues to mutate and to evaluate designed molecules in silico, in order to reduce the number of molecules to produce and characterize experimentally. Mutation of two threonine residues, Thr101 and Thr146 in the variable heavy domain, proved to be critical to eliminate PE ADA reactivity. This may have important implications in optimizing early drug development for antibody fragment-based therapeutics. |
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