Nanobody affinity improvement: Directed evolution of the anti-ochratoxin A single domain antibody

单域抗体 赭曲霉毒素A 定向进化 化学 抗体 领域(数学分析) 生物化学 计算生物学 生物 食品科学 基因 遗传学 真菌毒素 突变体 数学分析 数学
作者
Xuerou Wang,Qi Chen,Zhichang Sun,Yidan Wang,Benchao Su,Chenghui Zhang,Hongmei Cao,Xing Liu
出处
期刊:International Journal of Biological Macromolecules [Elsevier BV]
卷期号:151: 312-321 被引量:48
标识
DOI:10.1016/j.ijbiomac.2020.02.180
摘要

Abstract The characteristics of single domain and ease of gene manipulation of the single domain antibody (sdAb) make it suitable for affinity maturation in vitro. Since the affinity of antibodies can influence the immunoassays' sensitivity, a nanobody (Nb), the anti-ochratoxin A sdAb (AOA-sdAb), was herein selected as the model antibody to explore feasible approach for improving its affinity. Homology modeling and molecular docking were used to analyze the interaction between OTA and the AOA-sdAb. After alanine scanning verification, Gly53, Met79, Ser102, and Leu149 were determined as the key amino acids of the AOA-sdAb. Two site-directed saturated mutation libraries were constructed by two-site mutation against those four key amino acids. After biopanning and identification, a mutant Nb-G53Q&S102D was obtained with a half maximal inhibition concentration (IC50) of 0.29 ng/mL and a KD value of 52 nM, which is 1.4-fold and 1.36-fold lower than that of the original sdAb, respectively. The computer simulation analysis indicated that the hydrogen bond, hydrophobic interaction, and side chain steric hindrance of amino acid residues are critical for the binding affinity of the AOA-sdAb. Overall, the techniques shown in this study are effective ways at ‘identifying residues involved in antigen binding’ that can be altered by site-directed mutation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
无花果应助稳重迎曼采纳,获得10
1秒前
Nole应助able采纳,获得10
1秒前
1秒前
1秒前
奥奥发布了新的文献求助10
2秒前
小屁孩完成签到,获得积分10
2秒前
2秒前
思源应助songjiatian采纳,获得10
4秒前
1234发布了新的文献求助10
4秒前
5秒前
victorchen完成签到,获得积分10
7秒前
AntonioJ发布了新的文献求助10
7秒前
8秒前
Ava应助呢喃采纳,获得10
8秒前
大模型应助yang采纳,获得10
8秒前
彭于晏应助大大撒采纳,获得10
10秒前
许飞完成签到 ,获得积分10
12秒前
Nole应助kin采纳,获得10
12秒前
12秒前
小马甲应助kin采纳,获得10
12秒前
唐唐发布了新的文献求助10
12秒前
12秒前
epiphany发布了新的文献求助20
12秒前
謦欬与风完成签到,获得积分20
12秒前
Rubywang完成签到,获得积分10
13秒前
海比天蓝发布了新的文献求助10
13秒前
我就是要圆梦完成签到,获得积分10
15秒前
ertredffg完成签到,获得积分10
15秒前
sddd完成签到,获得积分10
15秒前
ss发布了新的文献求助10
16秒前
英俊的铭应助灵巧小鸽子采纳,获得10
16秒前
Captain_H发布了新的文献求助10
17秒前
花开富贵发布了新的文献求助10
18秒前
訾化端发布了新的文献求助10
19秒前
20秒前
细腻傲柔完成签到,获得积分10
21秒前
AntonioJ完成签到,获得积分10
22秒前
niting123456完成签到,获得积分10
22秒前
我谈发布了新的文献求助10
23秒前
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7625477
求助须知:如何正确求助?哪些是违规求助? 9200440
关于积分的说明 19726015
捐赠科研通 7196470
什么是DOI,文献DOI怎么找? 3273697
关于科研通互助平台的介绍 2435853
邀请新用户注册赠送积分活动 2269553