抗体
计算生物学
抗原
高通量筛选
体外
选择(遗传算法)
体内
肽库
生物
亲和层析
化学
分子生物学
生物化学
酶
免疫学
计算机科学
肽序列
遗传学
人工智能
基因
作者
Yingda Xu,William P. Roach,T. Sun,Tushar Jain,Bianka Prinz,Tian Yu,John Torrey,J.B. Thomas,Piotr Bobrowicz,Maximiliano Vásquez,K. Dane Wittrup,Eric Krauland
标识
DOI:10.1093/protein/gzt047
摘要
Low expression, poor solubility, and polyspecificity are significant obstacles that have impeded the development of antibodies discovered from in vitro display libraries. Current biophysical characterization tools that identify these ‘developability’ problems are typically only applied after the discovery process, and thus limited to perhaps a few hundred candidates. We report a flow cytometric assay using a polyspecificity reagent (PSR) that allows for the identification and counter selection of polyspecific antibodies both during and after the selection process. The reported assay correlates well with cross-interaction chromatography, a surrogate for antibody solubility, as well as a baculovirus particle enzyme-linked immunosorbent assay, a surrogate for in vivo clearance. However, unlike these assays, PSR labeling is compatible both with screening of individual antibodies as well as selections of large antibody libraries. To this end, we demonstrate the ability to counter-select against polyspecificity while enriching for antigen affinity from a diverse antibody library, which enables simultaneous evolution of both antigen binding and superior non-target-related properties during the discovery process.
科研通智能强力驱动
Strongly Powered by AbleSci AI