Semi-Correlations for the Simulation of Dermal Toxicity

The skin is the primary pathway for harmful substances to enter the body and a susceptible target organ, making compound-induced acute dermal toxicity a significant health risk. In this work, the possibility of modelling dermal toxicity using so-called semi-correlations is studied. Semi-correlations are a specific case of correlations, where one variable takes only two values. For example, 0 denotes the absence of activity (e.g., dermal toxicity), and 1 denotes the presence of activity. The described computational experiments can be carried out by interested readers using the freely available software CORAL.

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Journal
Toxics
Published
2025-03-23
DOI
https://doi.org/10.3390/toxics13040235
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Semi-Correlations for the Simulation of Dermal Toxicity

Andrey Andreevich Toropov, Emilio Benfenati, Alessandra Roncaglioni, Alla P. Toropova
Toxics
Computational Drug Discovery Methods
article

Semi-Correlations for the Simulation of Dermal Toxicity

Andrey Andreevich Toropov, Emilio Benfenati, Alessandra Roncaglioni, Alla P. Toropova
article en

Abstract

The skin is the primary pathway for harmful substances to enter the body and a susceptible target organ, making compound-induced acute dermal toxicity a significant health risk. In this work, the possibility of modelling dermal toxicity using so-called semi-correlations is studied. Semi-correlations are a specific case of correlations, where one variable takes only two values. For example, 0 denotes the absence of activity (e.g., dermal toxicity), and 1 denotes the presence of activity. The described computational experiments can be carried out by interested readers using the freely available software CORAL.

ToxicsVol. 13(4)
Mario Negri Institute for Pharmacological Research (IT)
Life below water
Openalex Percentile: Top 93%
Computational Drug Discovery Methods
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Semi-Correlations for the Simulation of Dermal Toxicity — Andrey Andreevich Toropov, Emilio Benfenati, et al. · Toxics (2025) | TGRS Research Map | TGRS