Balancing the extremes for antibody developability: hydrophobic and electrostatic germline framework signatures for
Vera A Spanke1, Valentin J Egger-Hoerschinger1, Clarissa A Seidler1
1Department of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.
Rational antibody framework selection optimizes therapeutic developability by modulating physicochemical properties. This approach enhances antibody design and candidate selection by leveraging inherent germline characteristics.
Area of Science:
- Biopharmaceutical development
- Protein engineering
- Immunology
Background:
- Antibody therapeutics are crucial but face developability challenges.
- Complementarity-determining region (CDR) modifications impact antigen specificity.
- Framework regions offer opportunities to improve developability attributes like aggregation and viscosity.
Purpose of the Study:
- To systematically analyze the electrostatic and hydrophobic surface properties of germline antibody frameworks.
- To assess the role of these properties in modulating antibody fragment variable (Fv) developability.
- To demonstrate how framework selection can optimize antibody developability.
Main Methods:
- Structure prediction and surface patch analysis of germline antibody frameworks.
- Characterization of kappa and lambda light-chain frameworks.
- Hydrophobic interaction chromatography and heparin column analysis.
- Assessment of framework selection's impact on physicochemical characteristics.
Main Results:
- Identified differences in surface properties between kappa and lambda light-chain frameworks.
- Characterized outlier germlines with extreme surface properties.
- Demonstrated that framework selection can compensate for CDR loop physicochemical properties.
- Showcased framework selection as a tool to optimize antibody developability.
Conclusions:
- Rational framework selection is a systematic approach to enhance antibody developability.
- Leveraging inherent germline properties provides a toolbox for antibody design.
- This strategy improves therapeutic candidate selection for biopharmaceuticals.
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