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Production and evolution of a ScFv antibody for immunoassay of residual phenothiazine drugs in meat based on computational simulation

In this study, the gene of a single chain variable fragment (ScFv) from a hybridoma cell strain excreting the monoclonal antibody for 2-chlorophenothiazine was directly transformed into E. coli to express the ScFv antibody. The obtained ScFv antibody showed similar recognition performances for 5 phe...

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Bibliographic Details
Published in:Analytical methods 2017-08, Vol.9 (3), p.4455-4463
Main Authors: Shi, Fang Shu, Zhang, Lei, Xia, Wan Qiu, Liu, Jing, Zhang, Hui Cai, Wang, Jian Ping
Format: Article
Language:English
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Summary:In this study, the gene of a single chain variable fragment (ScFv) from a hybridoma cell strain excreting the monoclonal antibody for 2-chlorophenothiazine was directly transformed into E. coli to express the ScFv antibody. The obtained ScFv antibody showed similar recognition performances for 5 phenothiazine drugs to its parental monoclonal antibody. Its molecular recognition mechanisms for the 5 drugs were studied by using molecular docking, and then the ScFv antibody was evolved directionally to generate a ScFv mutant by mutagenesis of a contact amino acid Phe164 to Pro based on the analysis of virtual mutation. The molecular docking showed that both the mutant-analyte intermolecular forces and the total binding energies increased, so the mutant showed highly improved sensitivity to the 5 drugs with up to 13 fold decreased IC 50 values. Then an indirect competitive immunoassay was developed to determine the residues of the 5 drugs in meat. The limits of detection were in the range of 0.1-1.8 ng g −1 , and the recoveries from the fortified blank meat sample were in the range of 66.4-97.2%. Furthermore, the results of the immunoassay of the real samples were consistent with those of a high performance liquid chromatography method. Production and directional evolution of a ScFv antibody based on computational simulation for immunoassay of phenothiazines in meat.
ISSN:1759-9660
1759-9679
DOI:10.1039/c7ay01103b