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

单域抗体 定向进化 化学 赭曲霉毒素A 抗体 领域(数学分析) 生物化学 计算生物学 生物 遗传学 食品科学 基因 真菌毒素 数学 数学分析 突变体
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:41
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
田田完成签到,获得积分10
1秒前
2秒前
2秒前
小鱼头发布了新的文献求助10
3秒前
班基拉斯使用了追打关注了科研通微信公众号
3秒前
3秒前
4秒前
忐忑的棉花糖完成签到,获得积分10
5秒前
田様应助YUMI采纳,获得10
5秒前
共享精神应助宣孤菱采纳,获得10
6秒前
yy发布了新的文献求助20
6秒前
SYLH应助科研通管家采纳,获得10
7秒前
深情安青应助科研通管家采纳,获得10
7秒前
彭于彦祖应助科研通管家采纳,获得10
8秒前
无花果应助科研通管家采纳,获得10
8秒前
研友_VZG7GZ应助科研通管家采纳,获得10
8秒前
上官若男应助科研通管家采纳,获得10
8秒前
fd163c应助科研通管家采纳,获得10
8秒前
无聊的万天完成签到,获得积分10
8秒前
赘婿应助科研通管家采纳,获得10
8秒前
大模型应助科研通管家采纳,获得10
8秒前
Gilana应助科研通管家采纳,获得20
8秒前
Akim应助科研通管家采纳,获得10
8秒前
SciGPT应助科研通管家采纳,获得10
9秒前
今后应助科研通管家采纳,获得10
9秒前
9秒前
fd163c应助科研通管家采纳,获得10
9秒前
9秒前
深情安青应助科研通管家采纳,获得10
9秒前
图图应助科研通管家采纳,获得50
9秒前
科研通AI5应助科研通管家采纳,获得10
9秒前
山花浪漫应助科研通管家采纳,获得10
9秒前
英俊的铭应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
Lucas应助崔昕雨采纳,获得10
10秒前
10秒前
10秒前
11秒前
11秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3737713
求助须知:如何正确求助?哪些是违规求助? 3281328
关于积分的说明 10024815
捐赠科研通 2998078
什么是DOI,文献DOI怎么找? 1645034
邀请新用户注册赠送积分活动 782506
科研通“疑难数据库(出版商)”最低求助积分说明 749814