突变体
结合亲和力
亲缘关系
亲和力成熟
突变
稳健性(进化)
计算生物学
蛋白质工程
化学
抗体
计算机科学
生物
遗传学
生物化学
受体
基因
酶
作者
Traian Sulea,Christophe Deprez,Christopher R. Corbeil,Enrico O. Purisima
标识
DOI:10.1007/978-1-0716-2609-2_20
摘要
The ADAPT (Assisted Design of Antibody and Protein Therapeutics) platform guides the selection of mutants that improve/modulate the affinity of antibodies and other biologics. Predicted affinities are based on a consensus z-score from three scoring functions. Computational predictions are interleaved with experimental validation, significantly enhancing the robustness of the design and selection of mutants. A key step is an initial exhaustive virtual single-mutant scan that identifies hot spots and the mutations predicted to improve affinity. A small number of proposed single mutants are then produced and assayed. Only the validated single mutants (i.e., having improved affinity) are used to design double and higher-order mutants in subsequent rounds of design, avoiding the combinatorial explosion that arises from random mutagenesis. Typically, with a total of about 30-50 designed single, double, and triple mutants, affinity improvements of 10- to 100-fold are obtained.
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