ArticleArchives of toxicology2024
The prediction of acute toxicity (LD
Article in Archives of toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 27 citations in OpenAlex.
- Anxiolytic-Like Effects of Citronellal and Phytol, Possibly Through the GABAergic Interaction Pathway: In Vivo with Molecular Docking Studies.Molecular neurobiology · 2025Article
- Synergistic Sedative Activity of Indirubin on Diazepam in Thiopental Sodium-induced Sleeping Mice: A Potential GABAergic Transmission.Molecular neurobiology · 2025Article
- Comprehensive reexamination of the acute toxicity of nitrogen mustards: HN-1, HN-2 and HN-3 as blister agents: application of multi in silico approach.Archives of toxicology · 2025Article
- In Silico Forensic Toxicology: Is It Feasible?Toxics · 2025Review
- Review
- Impact of halogenation on scaffold toxicity assessed using HD-GEM machine learning model.Briefings in bioinformatics · 2025Article
- Synthesis, Characterization, and Toxicity Evaluation of Size-Dependent Iron-Based Metal-Organic Frameworks.Nanomaterials (Basel, Switzerland) · 2025Article
- Citronellal Exerts Sedative-Like Effects and Augments Diazepam's Action in Swiss Mice, Possibly Through the GABAergic Pathway.Brain and behavior · 2025Article
- The acute toxicity of Novichok's degradation products using quantitative and qualitative toxicology in silico methods.Archives of toxicology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nerve agents are organophosphate chemical warfare agents that exert their toxic effects by irreversibly inhibiting acetylcholinesterase, affecting the breakdown of the neurotransmitter acetylcholine in the synaptic cleft. Due to the risk of exposure to dangerous nerve agents and for animal welfare reasons, in silico methods have been used to assess acute toxicity safely. The next-generation risk assessment (NGRA) is a new approach for predicting toxicological parameters that can meet modern requirements for toxicological research. The present study explains the acute toxicity of the examined V-series nerve agents (n = 9) using QSAR models. Toxicity Estimation Software Tool (ver. 4.2.1 and ver. 5.1.2), QSAR Toolbox (ver. 4.6), and ProTox-II browser application were used to predict the median lethal dose. The Simplified Molecular Input Line Entry Specification (SMILES) was the input data source. The results indicate that the most deadly V-agents were VX and VM, followed by structural VX analogues: RVX and CVX. The least toxic turned out to be V-sub x and Substance 100A. In silico methods for predicting various parameters are crucial for filling data gaps ahead of experimental research and preparing for the upcoming use of nerve agents.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.