ArticleACS nanoscience Au2025
NanoToxRadar: A Multitarget Nano-QSAR Model for Predicting the Cytotoxicity Values of Multicomponent Nanoparticles.
Article in ACS nanoscience Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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10 authors.
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Abstract
Nanotechnological advances have led to the development of nanoparticles with complex structures. In this context, nano-QSAR models have been developed to assess toxicity; however, the applicability domain (AD) of such models is significantly restricted to specific types of nanoparticles (i.e., bare metal oxides, coated metals, or carbon-based nanomaterials) and target cell lines. Accordingly, NanoToxRadar, a web-based platform for predicting the toxicity of multicomponent nanoparticles (MC-NPs) toward various cell lines, was developed to extend the AD of the nano-QSAR model. The size-dependent electron-configuration fingerprint was used to represent the molecular structures of MC-NPs, and one-hot encoded cell types were used to predict toxicities toward 110 cell lines. The CatBoost regression model achieved good performance (R
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