Literature DB >> 19591697

Application of computer-assisted molecular modeling for immunoassay of low molecular weight food contaminants: A review.

Zhen-Lin Xu1, Yu-Dong Shen, Ross C Beier, Jin-Yi Yang, Hong-Tao Lei, Hong Wang, Yuan-Ming Sun.   

Abstract

Immunoassay for low molecular weight food contaminants, such as pesticides, veterinary drugs, and mycotoxins is now a well-established technique which meets the demand for a rapid, reliable, and cost-effective analytical method. However, due to limited understanding of the molecular structure of antibody binding sites and antigenic epitopes, as well as the intermolecular binding forces that come into play, the traditional 'trial and error' method used to develop antibodies still remains the method of choice. Therefore, development of enhanced immunochemical techniques for specific- and generic-assays, requires new approaches for antibody design that will improve affinity and specificity of the antibody in a more rapid and economic manner. Computer-assisted molecular modeling (CAMM) has been demonstrated to be a useful tool to help the immunochemist develop immunoassays. CAMM methods can be used to help direct improvements to important antibody features, and can provide insights into the effects of molecular structure on biological activity that are difficult or impossible to obtain in any other way. In this review, we briefly summarize applications of CAMM in immunoassay development, including assisting in hapten design, explaining cross-reactivity, modeling antibody-antigen interactions, and providing insights into the effects of the mouse body temperature on the three-dimensional conformation of a hapten during antibody production. The fundamentals and theory, programs and software, limitations, and prospects of CAMM in immunoassay development were also discussed.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19591697     DOI: 10.1016/j.aca.2009.06.003

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  7 in total

1.  Rapid multiple immunoenzyme assay of mycotoxins.

Authors:  Alexandr E Urusov; Anatoly V Zherdev; Alina V Petrakova; Elchin G Sadykhov; Olga V Koroleva; Boris B Dzantiev
Journal:  Toxins (Basel)       Date:  2015-01-27       Impact factor: 4.546

2.  Development of an ultrasensitive immunoassay for detecting tartrazine.

Authors:  Zhuokun Li; Shanshan Song; Liguang Xu; Hua Kuang; Shidong Guo; Chuanlai Xu
Journal:  Sensors (Basel)       Date:  2013-06-25       Impact factor: 3.576

3.  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

4.  Development of a highly sensitive and specific immunoassay for determining chrysoidine, a banned dye, in soybean milk film.

Authors:  Hongtao Lei; Jin Liu; Lijun Song; Yudong Shen; Simon A Haughey; Haoxian Guo; Jinyi Yang; Zhenlin Xu; Yueming Jiang; Yuanming Sun
Journal:  Molecules       Date:  2011-08-17       Impact factor: 4.411

5.  Towards Improving Point-of-Care Diagnosis of Non-malaria Febrile Illness: A Metabolomics Approach.

Authors:  Saskia Decuypere; Jessica Maltha; Stijn Deborggraeve; Nicholas J W Rattray; Guiraud Issa; Kaboré Bérenger; Palpouguini Lompo; Marc C Tahita; Thusitha Ruspasinghe; Malcolm McConville; Royston Goodacre; Halidou Tinto; Jan Jacobs; Jonathan R Carapetis
Journal:  PLoS Negl Trop Dis       Date:  2016-03-04

6.  Antibody Screening by Microarray Technology-Direct Identification of Selective High-Affinity Clones.

Authors:  Martin Paul; Michael G Weller
Journal:  Antibodies (Basel)       Date:  2020-01-02

7.  Hapten Synthesis and Monoclonal Antibody Preparation for Simultaneous Detection of Albendazole and Its Metabolites in Animal-Origin Food.

Authors:  Shibei Shao; Xuping Zhou; Leina Dou; Yuchen Bai; Jiafei Mi; Wenbo Yu; Suxia Zhang; Zhanhui Wang; Kai Wen
Journal:  Foods       Date:  2021-12-14
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.