Version 1
: Received: 8 November 2018 / Approved: 9 November 2018 / Online: 9 November 2018 (11:36:02 CET)
How to cite:
Buglak, A.A.; Zherdev, A.V.; Lei, H.; Dzantiev, B.B. Quantitative Structure-Activity Analysis of Triazines Immune Recognition Based on Immunoassay Data for Polyclonal and Monoclonal Antibodies. Preprints2018, 2018110246. https://doi.org/10.20944/preprints201811.0246.v1
Buglak, A.A.; Zherdev, A.V.; Lei, H.; Dzantiev, B.B. Quantitative Structure-Activity Analysis of Triazines Immune Recognition Based on Immunoassay Data for Polyclonal and Monoclonal Antibodies. Preprints 2018, 2018110246. https://doi.org/10.20944/preprints201811.0246.v1
Buglak, A.A.; Zherdev, A.V.; Lei, H.; Dzantiev, B.B. Quantitative Structure-Activity Analysis of Triazines Immune Recognition Based on Immunoassay Data for Polyclonal and Monoclonal Antibodies. Preprints2018, 2018110246. https://doi.org/10.20944/preprints201811.0246.v1
APA Style
Buglak, A.A., Zherdev, A.V., Lei, H., & Dzantiev, B.B. (2018). Quantitative Structure-Activity Analysis of Triazines Immune Recognition Based on Immunoassay Data for Polyclonal and Monoclonal Antibodies. Preprints. https://doi.org/10.20944/preprints201811.0246.v1
Chicago/Turabian Style
Buglak, A.A., Hong-Tao Lei and Boris B. Dzantiev. 2018 "Quantitative Structure-Activity Analysis of Triazines Immune Recognition Based on Immunoassay Data for Polyclonal and Monoclonal Antibodies" Preprints. https://doi.org/10.20944/preprints201811.0246.v1
Abstract
A common task in the immunodetection of structurally close compounds is to analyze the selectivity of immune recognition: it is required to understand the regularities of immune recognition and to elucidate the basic structural elements which provide it. Triazines are compounds of particular interest for such a research due to their high variability and the necessity of their monitoring to provide safety of agricultural products and foodstuffs. We evaluated the binding of 20 triazines with polyclonal (pAb) and monoclonal (mAb) antibodies obtained using atrazine as the immunogenic hapten. A total of >3000 descriptors was used in QSAR analysis of binding activities (pIC50). Comparison of the two enzyme immunoassay systems showed that the system with pAb is much easier to describe using 2D QSAR methodology, while the system with mAb can be described using the 3D QSAR COMFA. Thus, for the 3D QSAR model of the polyclonal antibodies, the main statistical parameter q2 (‘leave-many-out’) is equal 0.498, and for monoclonal antibodies q2 is equal 0.566. Obviously, in the case of pAb, we deal with several targets, while in the case of mAb the target is one, and therefore it is easier to describe it using specific fields of molecular interactions distributed in space.
Chemistry and Materials Science, Analytical Chemistry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
