Preparation and interaction mechanism analysis of single-chain fragment variables against phenylethanolamine A
文献类型: 外文期刊
作者: Long Li;Ren Hou;Huaming Li;Shiyun Han;Jixiang Liang;Yu Si;Dapeng Peng
作者机构:
关键词: (0-1-5)Homology modeling;Molecular docking;Phenylethanolamine A;Recognition mechanism;ScFv
期刊名称: Animal Diseases
ISSN: 2731-0442
年卷期: 2024 年 4 卷 1 期
页码:
收录情况: 无来源刊(2024版)
摘要: This is the first report on the screening, expression, and recognition mechanism analysis of single-chain fragment variable (scFv) against phenylethanolamine A (PEAA), a newly emerged β-adrenergic agonist illegally used as a feed additive for growth promotion. The PEAA-specific scFv scFv, called scFv-32, was screened from hybridoma cell lines by phage display and was found to be optimally expressed in the E. coli system. The ic-ELISA results revealed an IC50 value of 10.34 μg/L for scFv-32 and no cross-reactivity with other β-adrenergic agonists. Homology modeling and molecular docking revealed the key binding sites VAL178, TYP228, and ASP229. One hydrogen bond, two pi-sigma bonds, and one pi-pi bond maintain the formation of the antibody‒drug complex. Alanine scanning mutagenesis of the three predicted key binding sites showed that the mutants completely lost their recognition activity, which confirmed the accuracy of the theoretical analysis. These results are valuable for the preparation of scFvs and the analysis of the molecular recognition mechanism of antigen-antibodies. Graphical abstract: (Figure presented.)
分类号:
- 相关文献
作者其他论文 更多>>
-
A strategy to improve the detection accuracy and universality of highland barley muti-quality attributes based on near infrared spectroscopy combined with model transfer method
作者:Linglei Li;Long Li;Jingfeng Li;Jingjing Yang;Lang Jia;Bei Fan;Litao Tong;Liya Liu;Yatao Huang;Xiaolong Yang;Fengzhong Wang;Lili Wang
关键词:Direct standardization;Highland barley;Model transfer;Near-infrared spectroscopy;Piecewise direct standardization;Powder;Scatter correction
-
Data-driven pipeline modeling for predicting unknown protein adulteration in dairy products
作者:Huihui Yang;Yutang Wang;Jinyong Zhao;Ping Li;Zhixiang Li;Long Li;Bei Fan;Fengzhong Wang
关键词:Machine learning;Potential adulterants;Prediction;Protein fraud
-
Recent advancements in chemometrics based non-destructive analytical techniques for rapid detection of adulterants in milk and dairy products – A review
作者:Rui Xu;Muhammad Zeeshan Adil;Sidra Jabeen; Khansa;Mahwish Tanveer;Sadia Younis;Bakhtawar Shafique;Long Li
关键词:Chemometrics;Dairy products;Imaging techniques;Milk adulteration;Non-destructive analytical techniques;Rapid detection;Spectroscopic techniques
-
Simultaneous determination of vegetable oil frying frequency and peroxide value based on the three-dimensional fluorescence spectroscopy and machine learning
作者:Huihui Yang;Yutang Wang;Bei Fan;Qing Chen;Meifeng Wu;Fengzhong Wang;Long Li
关键词:Fluorescence spectroscopy;Frying oil;Machine learning;Peroxide value
-
Thermal processing of Oilseeds: Multidimensional impacts on Maillard reaction chemistry, nutritional safety, and technological innovations in quality control
作者:Xinyu Li;Xinyue Liu;Zhiqiang Kong;Lin Li;Long Li;Marie Laure Fauconnier;Minmin Li
关键词:Maillard reaction chemistry;Nutritional safety;Oilseed matrices;Smart processing technologies;Thermal processing
-
Fluorescence spectroscopy combined with a multi-task deep learning model for rapeseed oil quality analysis
作者:Xinna Jiang;Quancheng Liu;Xingda Cao;Fan Wang;Long Li;Lei Yan;Shuxiang Fan
关键词:CNN;Multi-task deep learning;Quantitative analysis;Rapeseed oil;SHAP values
-
Discovery and Verification of Soybean Sprouting Selection Based on Quality Across Various Origins and Varieties: Varietal Effects on Sprouted Soybean Quality
作者:Minmin Li;Mengying Zhao;Jinfeng Shi;Yatao Huang;Long Li;Nuo Jin;Zhiqiang Kong;Jesus Simal-Gandarad;Fengzhong Wang;Bei Fan;Hong Xie
关键词:isoflavones;nutrient evaluation;quality variation;soybean sprouts