Article ; Online: Mutagenic potential and structural alerts of phytotoxins.
2022 Volume 173, Page(s) 113562
Abstract: Toxic plant-produced chemicals, so-called phytotoxins, constitute a category of natural compounds belonging to a diversity of chemical classes. Some of them (e.g., alkaloids, terpenes, saponins) are associated with high toxic potency, while for many of ... ...
| Abstract | Toxic plant-produced chemicals, so-called phytotoxins, constitute a category of natural compounds belonging to a diversity of chemical classes. Some of them (e.g., alkaloids, terpenes, saponins) are associated with high toxic potency, while for many of others no toxicological data is available. In this study, the mutagenic potential of 1586 phytotoxins, as obtained from a publicly available database, was investigated applying different in silico approaches. (Q)SAR models (including statistical-based and rule-based systems) were used for the prediction of bacterial in vitro mutagenicity (Ames test) and the results from multiple tools were combined to assign consensus predicted values (i.e., positive, negative, inconclusive). The overall consensus outcome was then employed to investigate relationships between structural features of classes of phytotoxins and potential mutagenicity, allowing the identification of structural alerts raising a specific concern. The results highlighted that about 10% of the screened compounds were predicted to have mutagenic potential and the critical classes of concern, such as alkaloids, were further investigated in terms of subclasses (e.g., indole alkaloids, isoquinoline alkaloids), getting a deeper insight into the mutagenic potential of possible naturally occurring chemicals in plant materials and their structural alerts. |
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| MeSH term(s) | Mutagens/toxicity ; Mutagens/chemistry ; Mutagenicity Tests/methods ; Mutagenesis ; Databases, Factual ; Alkaloids/toxicity ; Quantitative Structure-Activity Relationship |
| Chemical Substances | Mutagens ; Alkaloids |
| Language | English |
| Publishing date | 2022-12-21 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 782617-5 |
| ISSN | 1873-6351 ; 0278-6915 |
| ISSN (online) | 1873-6351 |
| ISSN | 0278-6915 |
| DOI | 10.1016/j.fct.2022.113562 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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