Understanding and overcoming trade-offs between antibody affinity, specificity, stability and solubility
Autor: | Peter M. Tessier, Lilia A. Rabia, Alec A. Desai, Harkamal S. Jhajj |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Environmental Engineering biology Chemistry medicine.drug_class Trade offs Biomedical Engineering Stability (learning theory) Antibody affinity Bioengineering Computational biology Monoclonal antibody Article 03 medical and health sciences 030104 developmental biology biology.protein medicine Solubility Antibody Effector functions Cytotoxicity Biotechnology |
Zdroj: | Biochemical Engineering Journal. 137:365-374 |
ISSN: | 1369-703X |
DOI: | 10.1016/j.bej.2018.06.003 |
Popis: | The widespread use of monoclonal antibodies for therapeutic applications has led to intense interest in optimizing several of their natural properties (affinity, specificity, stability, solubility and effector functions) as well as introducing non-natural activities (bispecificity and cytotoxicity mediated by conjugated drugs). A common challenge during antibody optimization is that improvements in one property (e.g., affinity) can lead to deficits in other properties (e.g., stability). Here we review recent advances in understanding trade-offs between different antibody properties, including affinity, specificity, stability and solubility. We also review new approaches for co-optimizing multiple antibody properties and discuss how these methods can be used to rapidly and systematically generate antibodies for a wide range of applications. |
Databáze: | OpenAIRE |
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