Evidence map›Paper›PMID 36569478›Full record

ArticleToxicology reports2023

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

Md Al Mamunur Rashid, Byounghwak Lee, Kwang Ho Kim, Keunhong Jeong

Abstract read
In one paragraph

Article in Toxicology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Tailoring Super-Performed Chemo-Sensor via Simulation-Modeling and MEMS-Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Md Al Mamunur RashidClean Energy Research Center, Korea Institute of Science and Technology, Seoul 02792, South Korea.
Byounghwak LeeDepartment of Physics and Chemistry, Korea Military Academy, Seoul 01805, South Korea.
Kwang Ho KimClean Energy Research Center, Korea Institute of Science and Technology, Seoul 02792, South Korea.
Keunhong JeongDepartment of Physics and Chemistry, Korea Military Academy, Seoul 01805, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

DFTElectrophilicityHydrolysis rateNerve agent

Identifiers

PMID36569478
PMCPMC9768234

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