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Theoretical prediction on the hydrolysis rate of the new types of nerve agents: A density functional study

Although the hydrolysis mechanism of the nerve agents, which is the main decontamination pathway, has been studied experimentally and theoretically, the reliable theoretical prediction method for the hydrolysis rate is not studied yet. Furthermore, after the CWC (Chemical Warfare Agent) list is upda...

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Autores principales: Rashid, Md Al Mamunur, Lee, Byounghwak, Kim, Kwang Ho, Jeong, Keunhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768234/
https://www.ncbi.nlm.nih.gov/pubmed/36569478
http://dx.doi.org/10.1016/j.toxrep.2022.12.001
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author Rashid, Md Al Mamunur
Lee, Byounghwak
Kim, Kwang Ho
Jeong, Keunhong
author_facet Rashid, Md Al Mamunur
Lee, Byounghwak
Kim, Kwang Ho
Jeong, Keunhong
author_sort Rashid, Md Al Mamunur
collection PubMed
description Although the hydrolysis mechanism of the nerve agents, which is the main decontamination pathway, has been studied experimentally and theoretically, the reliable theoretical prediction method for the hydrolysis rate is not studied yet. Furthermore, after the CWC (Chemical Warfare Agent) list is updated, Novichok candidate structures can be more than 10,000 structures, for which it is not possible to perform the experiment for all of them for synthesizing and getting the hydrolysis rate. Therefore, developing a reliable theoretical method for hydrolysis rate prediction is crucial to prepare for the forthcoming usage of new types of nerve agents. Herein, by using DFT (Density Functional Theory), we successfully developed a new method of predicting the hydrolysis rate on nerve agents by investigating the electrophilicity index (EI) of the various A-, V-, and G-series nerve agents and found a suitable correlation with the experimental hydrolysis rate. Among the several DFT methods, wb97xD predicts the EI with the lowest % deviation of the studied nerve agents. Our results show that EI can be a good indicator to predict the hydrolysis rate of the anticipated nerve agents. Based on the result, we predicted the hydrolysis rate on another type of Novichok candidates, which could be the firm basis for developing a decontaminant and antidote with much fewer experimental efforts on new types of nerve agents.
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spelling pubmed-97682342022-12-22 Theoretical prediction on the hydrolysis rate of the new types of nerve agents: A density functional study Rashid, Md Al Mamunur Lee, Byounghwak Kim, Kwang Ho Jeong, Keunhong Toxicol Rep Article Although the hydrolysis mechanism of the nerve agents, which is the main decontamination pathway, has been studied experimentally and theoretically, the reliable theoretical prediction method for the hydrolysis rate is not studied yet. Furthermore, after the CWC (Chemical Warfare Agent) list is updated, Novichok candidate structures can be more than 10,000 structures, for which it is not possible to perform the experiment for all of them for synthesizing and getting the hydrolysis rate. Therefore, developing a reliable theoretical method for hydrolysis rate prediction is crucial to prepare for the forthcoming usage of new types of nerve agents. Herein, by using DFT (Density Functional Theory), we successfully developed a new method of predicting the hydrolysis rate on nerve agents by investigating the electrophilicity index (EI) of the various A-, V-, and G-series nerve agents and found a suitable correlation with the experimental hydrolysis rate. Among the several DFT methods, wb97xD predicts the EI with the lowest % deviation of the studied nerve agents. Our results show that EI can be a good indicator to predict the hydrolysis rate of the anticipated nerve agents. Based on the result, we predicted the hydrolysis rate on another type of Novichok candidates, which could be the firm basis for developing a decontaminant and antidote with much fewer experimental efforts on new types of nerve agents. Elsevier 2022-12-09 /pmc/articles/PMC9768234/ /pubmed/36569478 http://dx.doi.org/10.1016/j.toxrep.2022.12.001 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Rashid, Md Al Mamunur
Lee, Byounghwak
Kim, Kwang Ho
Jeong, Keunhong
Theoretical prediction on the hydrolysis rate of the new types of nerve agents: A density functional study
title Theoretical prediction on the hydrolysis rate of the new types of nerve agents: A density functional study
title_full Theoretical prediction on the hydrolysis rate of the new types of nerve agents: A density functional study
title_fullStr Theoretical prediction on the hydrolysis rate of the new types of nerve agents: A density functional study
title_full_unstemmed Theoretical prediction on the hydrolysis rate of the new types of nerve agents: A density functional study
title_short Theoretical prediction on the hydrolysis rate of the new types of nerve agents: A density functional study
title_sort theoretical prediction on the hydrolysis rate of the new types of nerve agents: a density functional study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768234/
https://www.ncbi.nlm.nih.gov/pubmed/36569478
http://dx.doi.org/10.1016/j.toxrep.2022.12.001
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