Article ; Online: Underestimations in the In Silico-Predicted Toxicities of V-Agents.
2023 Volume 13, Issue 4, Page(s) 615–624
Abstract: V-agents are exceedingly toxic nerve agents. Recently, it was highlighted that V-agents constitute a diverse subclass of compounds with most of them not extensively studied. Although chemical weapons have been banned under the Chemical Weapons Convention ...
| Abstract | V-agents are exceedingly toxic nerve agents. Recently, it was highlighted that V-agents constitute a diverse subclass of compounds with most of them not extensively studied. Although chemical weapons have been banned under the Chemical Weapons Convention (CWC), there is an increased concern for chemical terrorism. Thus, it is important to understand their properties and toxicities, especially since some of these agents are not included in the CWC list. Nonetheless, to achieve this goal, the testing of a huge number of compounds is needed. Alternatively, in silico toxicology offers a great advantage for the rapid assessment of toxic compounds. Here, various in silico tools (TEST, VEGA, pkCSM ProTox-II) were used to estimate the acute oral toxicity (LD50) of different V-agents and compare them with experimental values. These programs underestimated the toxicity of V-agents, and certain V-agents were estimated to be relatively non-toxic. TEST was also used to estimate the physical properties and found to provide good approximations for densities, surface tensions and vapor pressures but not for viscosities. Thus, attention should be paid when interpreting and estimating the toxicities of V-agents in silico, and it is necessary to conduct future detailed experiments to understand their properties and develop effective countermeasures. |
|---|---|
| Language | English |
| Publishing date | 2023-10-22 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2649720-7 |
| ISSN | 2039-4713 ; 2039-4713 |
| ISSN (online) | 2039-4713 |
| ISSN | 2039-4713 |
| DOI | 10.3390/jox13040039 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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