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本文引用的文献

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In vitro antibody evolution targeting germline hot spots to increase activity of an anti-CD22 immunotoxin.靶向种系热点的体外抗体进化以提高抗CD22免疫毒素的活性
J Biol Chem. 2005 Jan 7;280(1):607-17. doi: 10.1074/jbc.M409783200. Epub 2004 Oct 18.
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Directed evolution of an anti-carcinoembryonic antigen scFv with a 4-day monovalent dissociation half-time at 37 degrees C.一种在37℃下具有4天单价解离半衰期的抗癌胚抗原单链抗体片段的定向进化。
Protein Eng Des Sel. 2004 Apr;17(4):293-304. doi: 10.1093/protein/gzh038. Epub 2004 Apr 28.
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Therapeutic antibodies for human diseases at the dawn of the twenty-first century.21世纪初用于人类疾病治疗的抗体。
Nat Rev Drug Discov. 2003 Jan;2(1):52-62. doi: 10.1038/nrd984.
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Tech.Sight. Phage display. Affinity selection from biological libraries.技术视野。噬菌体展示。从生物文库中进行亲和筛选。
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Protection against anthrax toxin by recombinant antibody fragments correlates with antigen affinity.重组抗体片段对炭疽毒素的保护作用与抗原亲和力相关。
Nat Biotechnol. 2002 Jun;20(6):597-601. doi: 10.1038/nbt0602-597.
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Targeting random mutations to hotspots in antibody variable domains for affinity improvement.将随机突变靶向抗体可变域中的热点以提高亲和力。
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Complementary combining site contact residue mutations of the anti-digoxin Fab 26-10 permit high affinity wild-type binding.抗地高辛Fab 26-10的互补结合位点接触残基突变允许高亲和力野生型结合。
J Biol Chem. 2002 May 10;277(19):16365-70. doi: 10.1074/jbc.M110444200. Epub 2002 Feb 19.
8
Directed evolution of antibody fragments with monovalent femtomolar antigen-binding affinity.具有单价飞摩尔抗原结合亲和力的抗体片段的定向进化。
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9
Thermodynamic consequences of grafting enhanced affinity toward the mutated antigen onto an antibody. The case of anti-lysozyme antibody, HyHEL-10.将对突变抗原的增强亲和力嫁接到抗体上的热力学后果。抗溶菌酶抗体HyHEL-10的情况。
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10
Quantitative analysis of the effect of the mutation frequency on the affinity maturation of single chain Fv antibodies.突变频率对单链Fv抗体亲和力成熟影响的定量分析。
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一种通过使用组合文库大幅提高抗体亲和力的通用方法。

A general method for greatly improving the affinity of antibodies by using combinatorial libraries.

作者信息

Rajpal Arvind, Beyaz Nurten, Haber Lauric, Cappuccilli Guido, Yee Helena, Bhatt Ramesh R, Takeuchi Toshihiko, Lerner Richard A, Crea Roberto

机构信息

Bioren Inc., 100 Glenn Way, Suite 1, San Carlos, CA 94070, USA.

出版信息

Proc Natl Acad Sci U S A. 2005 Jun 14;102(24):8466-71. doi: 10.1073/pnas.0503543102. Epub 2005 Jun 6.

DOI:10.1073/pnas.0503543102
PMID:15939870
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1143585/
Abstract

Look-through mutagenesis (LTM) is a multidimensional mutagenesis method that simultaneously assesses and optimizes combinatorial mutations of selected amino acids. The process focuses on a precise distribution within one or more complementarity determining region (CDR) domains and explores the synergistic contribution of amino acid side-chain chemistry. LTM was applied to an anti-TNF-alpha antibody, D2E7, which is a challenging test case, because D2E7 was highly optimized (K(d) = 1 nM) by others. We selected and incorporated nine amino acids, representative of the major chemical functionalities, individually at every position in each CDR and across all six CDRs (57 aa). Synthetic oligonucleotides, each introducing one amino acid mutation throughout the six CDRs, were pooled to generate segregated libraries containing single mutations in one, two, and/or three CDRs for each V(H) and V(L) domain. Corresponding antibody libraries were displayed on the cell surface of yeast. After positive binding selection, 38 substitutions in 21 CDR positions were identified that resulted in higher affinity binding to TNF-alpha. These beneficial mutations in both V(H) and V(L) were represented in two combinatorial beneficial mutagenesis libraries and selected by FACS to produce a convergence of variants that exhibit between 500- and 870-fold higher affinities. Importantly, these enhanced affinities translate to a 15- to 30-fold improvement in in vitro TNF-alpha neutralization in an L929 bioassay. Thus, this LTM/combinatorial beneficial mutagenesis strategy generates a comprehensive energetic map of the antibody-binding site in a facile and rapid manner and should be broadly applicable to the affinity maturation of antibodies and other proteins.

摘要

通透诱变(LTM)是一种多维诱变方法,可同时评估和优化所选氨基酸的组合突变。该过程聚焦于一个或多个互补决定区(CDR)结构域内的精确分布,并探索氨基酸侧链化学的协同作用。LTM被应用于抗TNF-α抗体D2E7,这是一个具有挑战性的测试案例,因为D2E7已被其他人高度优化(解离常数K(d)=1 nM)。我们在每个CDR的每个位置以及所有六个CDR(共57个氨基酸)中分别选择并引入了代表主要化学功能的九个氨基酸。将每个在六个CDR中引入一个氨基酸突变的合成寡核苷酸汇集在一起,以生成针对每个V(H)和V(L)结构域在一个、两个和/或三个CDR中包含单突变的分离文库。相应的抗体文库展示在酵母细胞表面。经过阳性结合筛选,在21个CDR位置鉴定出38个取代,这些取代导致与TNF-α的结合亲和力更高。V(H)和V(L)中的这些有益突变体现在两个组合有益诱变文库中,并通过荧光激活细胞分选(FACS)进行选择,以产生亲和力提高500至870倍的变体趋同。重要的是,这些增强的亲和力在L929生物测定中转化为体外TNF-α中和能力提高15至30倍。因此,这种LTM/组合有益诱变策略以简便快捷的方式生成了抗体结合位点的全面能量图谱,应广泛适用于抗体和其他蛋白质的亲和力成熟。