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Femtomolar Fab binding affinities to a protein target by alternative CDR residue co-optimization strategies without phage or cell surface display

机译:Femtomolar Fab与蛋白靶标的结合亲和力通过其他CDR残基共同优化策略实现无需噬菌体或细胞表面展示

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摘要

In therapeutic or diagnostic antibody discovery, affinity maturation is frequently required to optimize binding properties. In some cases, achieving very high affinity is challenging using the display-based optimization technologies. Here we present an approach that begins with the creation and clonal, quantitative analysis of soluble Fab libraries with complete diversification in adjacent residue pairs encompassing every complementarity-determining region position. This was followed by alternative recombination approaches and high throughput screening to co-optimize large sets of the found improving mutations. We applied this approach to the affinity maturation of the anti-tumor necrosis factor antibody adalimumab and achieved ~500-fold affinity improvement, resulting in femtomolar binding. To our knowledge, this is the first report of the in vitro engineering of a femtomolar affinity antibody against a protein target without display screening. We compare our findings to a previous report that employed extensive mutagenesis and recombination libraries with yeast display screening. The present approach is widely applicable to the most challenging of affinity maturation efforts.
机译:在治疗性或诊断性抗体发现中,经常需要亲和力成熟以优化结合特性。在某些情况下,使用基于显示的优化技术要实现非常高的亲和力非常困难。在这里,我们提出了一种方法,该方法从创建和克隆,定量分析可溶性Fab文库开始,在相邻残基对中完全分散,涵盖了每个互补决定区的位置。随后是替代重组方法和高通量筛选,以共同优化发现的改良突变的大集合。我们将这种方法应用于抗肿瘤坏死因子抗体阿达木单抗的亲和力成熟,并实现了约500倍的亲和力提高,从而导致了飞摩尔结合。就我们所知,这是针对蛋白质目标的飞摩尔亲和力抗体的体外工程改造(未经展示筛选)的首次报道。我们将我们的发现与以前的报告进行了比较,该报告采用了广泛的诱变和重组文库以及酵母菌展示筛选技术。本方法广泛适用于最具挑战性的亲和力成熟工作。

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