Matrixed CDR-grafting: a neoclassical framework for antibody humanization and developability

抗体 计算生物学 单克隆抗体 免疫球蛋白轻链 生物 序列母题 序列(生物学) 计算机科学 遗传学 DNA
作者
Pankaj Gupta,Alexander M. Horspool,Goral Trivedi,Gina Moretti,Akshita Datar,Zhong-Fu Huang,Jeffrey Chiecko,Cynthia Hess Kenny,Michael S. Marlow
出处
期刊:Journal of Biological Chemistry [Elsevier BV]
卷期号:300 (1): 105555-105555 被引量:1
标识
DOI:10.1016/j.jbc.2023.105555
摘要

Discovery and optimization of a biotherapeutic monoclonal antibody requires a careful balance of target engagement and physicochemical developability properties. To take full advantage of the sequence diversity provided by different antibody discovery platforms, a rapid and reliable process for humanization of antibodies from nonhuman sources is required. Canonically, maximizing homology of the human variable region (V-region) to the original germline was believed to result in preservation of binding, often without much consideration for inherent molecular properties. We expand on this approach by grafting the complementary determining regions (CDRs) of a mouse anti-LAG3 antibody into an extensive matrix of human variable heavy chain (VH) and variable light chain (VL) framework regions with substantially broader sequence homology to assess the impact on complementary determining region-framework compatibility through progressive evaluation of expression, affinity, biophysical developability, and function. Specific VH and VL framework sequences were associated with major expression and purification phenotypes. Greater VL sequence conservation was correlated with retained or improved affinity. Analysis of grafts that bound the target demonstrated that initial developability criteria were significantly impacted by VH, but not VL. In contrast, cell binding and functional characteristics were significantly impacted by VL, but not VH. Principal component analysis of all factors identified multiple grafts that exhibited more favorable antibody properties, notably with nonoptimal sequence conservation. Overall, this study demonstrates that modern throughput systems enable a more thorough, customizable, and systematic analysis of graft-framework combinations, resulting in humanized antibodies with improved global properties that may progress through development more quickly and with a greater probability of success.

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