Literature DB >> 25553733

Stereospecific recognition and quantitative structure-activity relationship between antibodies and enantiomers: ofloxacin as a model hapten.

Hongtao Mu1, Baoling Wang, Zhenlin Xu, Yuanming Sun, Xinan Huang, Yudong Shen, Sergei A Eremin, Anatoly V Zherdev, Boris B Dzantiev, Hongtao Lei.   

Abstract

In this study, ofloxacin stereoisomers were chosen as a simple model to investigate the stereospecific recognition of chiral haptens and antibodies. Three polyclonal antibodies were studied and showed a relatively high enantioselectivity and an excellent sensitivity. Comparative molecular field analysis and comparative molecular similarity indices analysis were employed to investigate the chiral recognition between the antibody and the ofloxacin enantiomer, and all the models yielded high correlation and predictive ability. It was found that the chiral discrimination was probably caused by steric hindrance; the antibody stereospecificity could be ascribed to the variation of the R1 and R3 groups of quinolones; the common structure of the quinolones is also essential in the hapten-antibody recognition. The recognition between the chiral haptens and the antibodies was co-affected by multiple interaction forces, and those forces were defined explicitly at the sub-structural level. An illustrative enhanced model with good simplicity and universality was also developed for a better understanding of the stereospecific recognition of ofloxacin enantiomers and antibodies for the first time. This work provides insights into the stereospecific recognition of chiral haptens and antibodies.

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Year:  2015        PMID: 25553733     DOI: 10.1039/c4an02155j

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  3 in total

Review 1.  Significance and challenges of stereoselectivity assessing methods in drug metabolism.

Authors:  Zhuowei Shen; Chuang Lv; Su Zeng
Journal:  J Pharm Anal       Date:  2015-12-21

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

Authors:  Fuyuan Zhang; Bing Liu; Guozhen Liu; Yan Zhang; Junping Wang; Shuo Wang
Journal:  Sci Rep       Date:  2018-02-15       Impact factor: 4.379

3.  QSAR analysis of immune recognition for triazine herbicides based on immunoassay data for polyclonal and monoclonal antibodies.

Authors:  Andrey A Buglak; Anatoly V Zherdev; Hong-Tao Lei; Boris B Dzantiev
Journal:  PLoS One       Date:  2019-04-03       Impact factor: 3.240

  3 in total

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