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Substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry

Based on the structural features of fluometuron, an immunizing hapten was synthesized and conjugated to bovine serum albumin as an immunogen to prepare a polyclonal antibody. However, the resultant antibody indicated cross-reactivity with 6 structurally similar phenylurea herbicides, with binding ac...

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Autores principales: Zhang, Fuyuan, Liu, Bing, Liu, Guozhen, Zhang, Yan, Wang, Junping, Wang, Shuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814414/
https://www.ncbi.nlm.nih.gov/pubmed/29449597
http://dx.doi.org/10.1038/s41598-018-21394-x
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author Zhang, Fuyuan
Liu, Bing
Liu, Guozhen
Zhang, Yan
Wang, Junping
Wang, Shuo
author_facet Zhang, Fuyuan
Liu, Bing
Liu, Guozhen
Zhang, Yan
Wang, Junping
Wang, Shuo
author_sort Zhang, Fuyuan
collection PubMed
description Based on the structural features of fluometuron, an immunizing hapten was synthesized and conjugated to bovine serum albumin as an immunogen to prepare a polyclonal antibody. However, the resultant antibody indicated cross-reactivity with 6 structurally similar phenylurea herbicides, with binding activities (expressed by IC(50) values) ranging from 1.67 µg/L to 42.71 µg/L. All 6 phenylurea herbicides contain a common moiety and three different substitutes. To understand how these three different chemical groups affect the antibody-phenylurea recognition activity, quantum chemistry, using density function theory (DFT) at the B3LYP/6-311++ G(d,p) level of theory, was employed to optimize all phenylurea structures, followed by determination of the 3D conformations of these molecules, pharmacophore analysis, and molecular electrostatic potential (ESP) analysis. The molecular modeling results confirmed that the geometry configuration, pharmacophore features and electron distribution in the substituents were related to the antibody binding activity. Spearman correlation analysis further elucidated that the geometrical and electrostatic properties on the van der Waals (vdW) surface of the substituents played a critical role in the antibody-phenylurea recognition process.
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spelling pubmed-58144142018-02-21 Substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry Zhang, Fuyuan Liu, Bing Liu, Guozhen Zhang, Yan Wang, Junping Wang, Shuo Sci Rep Article Based on the structural features of fluometuron, an immunizing hapten was synthesized and conjugated to bovine serum albumin as an immunogen to prepare a polyclonal antibody. However, the resultant antibody indicated cross-reactivity with 6 structurally similar phenylurea herbicides, with binding activities (expressed by IC(50) values) ranging from 1.67 µg/L to 42.71 µg/L. All 6 phenylurea herbicides contain a common moiety and three different substitutes. To understand how these three different chemical groups affect the antibody-phenylurea recognition activity, quantum chemistry, using density function theory (DFT) at the B3LYP/6-311++ G(d,p) level of theory, was employed to optimize all phenylurea structures, followed by determination of the 3D conformations of these molecules, pharmacophore analysis, and molecular electrostatic potential (ESP) analysis. The molecular modeling results confirmed that the geometry configuration, pharmacophore features and electron distribution in the substituents were related to the antibody binding activity. Spearman correlation analysis further elucidated that the geometrical and electrostatic properties on the van der Waals (vdW) surface of the substituents played a critical role in the antibody-phenylurea recognition process. Nature Publishing Group UK 2018-02-15 /pmc/articles/PMC5814414/ /pubmed/29449597 http://dx.doi.org/10.1038/s41598-018-21394-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Fuyuan
Liu, Bing
Liu, Guozhen
Zhang, Yan
Wang, Junping
Wang, Shuo
Substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry
title Substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry
title_full Substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry
title_fullStr Substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry
title_full_unstemmed Substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry
title_short Substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry
title_sort substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814414/
https://www.ncbi.nlm.nih.gov/pubmed/29449597
http://dx.doi.org/10.1038/s41598-018-21394-x
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