中国仓鼠卵巢细胞
单克隆抗体
合理设计
化学
生物活性
生物结合
蛋白质工程
溶解度
生物化学
抗体
组合化学
生物物理学
酶
纳米技术
体外
生物
材料科学
有机化学
受体
遗传学
作者
Sandeep Kumar,Kirk Roffi,Dheeraj S. Tomar,David Cirelli,Nicholas Luksha,Danielle Meyer,Jeffrey R. Mitchell,Martin J. Allen,Li Li
标识
DOI:10.1093/protein/gzy020
摘要
Developability considerations should be integrated with lead engineering of antibody drug candidates in interest of their cost effective translations into medicines. To explore feasibility of this imperative, we have performed rational mutagenesis studies on a monoclonal antibody (MAB1) whose development was discontinued owing to manufacturability hurdles. Seven computationally designed variants of MAB1 containing single point (V44K, E59S, E59T and E59Y) and double (V44KE59S, V44KE59T and V44KE59Y) mutations in its light chain were produced in Chinese Hamster Ovary (CHO) cells and purified by using platform processes employed during commercial scale production of monoclonal antibodies. MAB1 and its variants were formulated in the same platform buffer and subjected to a battery of experiments to assess their solution behaviors, and biological activities. Five of the seven (71%) variants of MAB1 demonstrated improved biophysical attributes in multiple experimental testings. Contrary to the commonly expressed reservations about potential biological activity loss upon developability optimizations, the improvements in solution behavior of MAB1 also increased its biological activity up to ~180%. In particular, concentrate-ability and apparent solubility of V44KE59S improved to ~150% and ~160%, respectively. Its diffusion interaction parameter (kD) reduced to 28% and viscosity at ~100 mg/ml decreased to less than half of the corresponding values for MAB1. V44KE59S is also slightly more active and its transfections in CHO cells were more productive. It also degraded slower than MAB1 in three month long 25°C and 40°C formulation stability studies. These results open doors to an exciting realm of structure-based biologic drug design where developability and biological activity can be simultaneously optimized at the molecular engineering stages.
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