Physicochemical Rules for Identifying Monoclonal Antibodies with Drug-like Specificity

Autor: Seth D. Ludwig, Lilia A. Rabia, Yulei Zhang, Priyanka Gupta, Peter M. Tessier, Matthew D. Smith, Alec A. Desai, Lina Wu
Rok vydání: 2020
Předmět:
Zdroj: Mol Pharm
ISSN: 1543-8392
1543-8384
DOI: 10.1021/acs.molpharmaceut.0c00257
Popis: The ability of antibodies to recognize their target antigens with high specificity is fundamental to their natural function. Nevertheless, therapeutic antibodies display variable and difficult-to-predict levels of non-specific and self-interactions that can lead to various drug development challenges, including antibody aggregation, abnormally high viscosity and rapid antibody clearance. Here we report a method for predicting the overall specificity of antibodies in terms of their relative risk for displaying high levels of non-specific and/or self-interactions at physiological conditions. We find that individual and combined sets of chemical rules that limit the maximum and minimum numbers of certain solvent-exposed residues in antibody variable regions are strong predictors of specificity for large panels of preclinical and clinical-stage antibodies. We also demonstrate how the chemical rules can be used to identify sites that mediate non-specific interactions in suboptimal antibodies and guide the design of targeted sub-libraries that yield variants with high antibody specificity. These findings can be readily used to improve the selection and engineering of antibodies with drug-like specificity.
Databáze: OpenAIRE