化学
有效载荷(计算)
结合
糖基化
细胞毒性
组合化学
同质性(统计学)
生物物理学
碎片结晶区
纳米技术
抗体
渗透(战争)
蛋白质工程
计算生物学
免疫原性
立体化学
细胞
作者
Fengnan Song,Yan Zhao,Yaqi Shi,Hanxu Xu,Xiangman Zou,Zhi Liu,Xintong Liu,Shuchang Ning,Holger Husi,Wei Shi,Feng Tang,Wei Huang,Weihua Meng
标识
DOI:10.1021/acs.bioconjchem.5c00539
摘要
Although ADCs have demonstrated great potential in tumor treatment, acquired resistance to ADCs has been reported, related to both the targets and the payloads. One strategy is to increase the diversity of the payloads. The cytotoxicity and other inherent properties of the payloads are important factors for the choice of the appropriate DAR value in the ADCs design. Due to the symmetrical structure of antibodies, the DAR values of ADCs prepared by classical conjugation strategies are basically between 2 and 8. With continuous advancement in their development, ultrapotent payloads require lower DAR values to achieve better pharmacokinetics and biodistribution. In this study, we provide a methodology for preparing DAR1 ADCs that utilizes engineered Fc domains to generate antibodies with a single N-glycosylation site and employs glycosite-specific chemoenzymatic conjugation technology to conjugate a single payload to the N-glycosylation site. The obtained ADCs have acceptable homogeneity and stability, as well as effective in vitro and in vivo biological activities. Additionally, our research indicates that while maintaining equivalent payload dosages, DAR1 ADCs have higher tumor penetration in both in vitro and in vivo models.
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