Integration of QSAR and NAM in the Read-Across Process for an Effective and Relevant Toxicological Assessment

Read-Across (RAx) serves as a strategy to fill a data gap in the toxicological profile of a substance (target) using existing information on similar source substances. The principle is applied also to a category of substances for which similarity may follow a regular trend. Demonstration of similarity is not trivial and requires the analysis of different steps, starting from the precise analytical characterization of both target and source substances and including the analysis of the impact that each minor difference can have on the final outcome. Application of QSARs and performing new experimental tests within the new approach methodologies (NAMs) is necessary to increase confidence in the final prediction and reduce the uncertainty.

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Publication Details

Journal
Methods in molecular biology
Published
2024-09-23
DOI
https://doi.org/10.1007/978-1-0716-4003-6_4
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.63
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article

Integration of QSAR and NAM in the Read-Across Process for an Effective and Relevant Toxicological Assessment

Costanza Rovida, Monica Locatelli, Marina Muscarella
1 citations
Methods in molecular biology
Computational Drug Discovery Methods
1.63
article

Integration of QSAR and NAM in the Read-Across Process for an Effective and Relevant Toxicological Assessment

Costanza Rovida, Monica Locatelli, Marina Muscarella
article en
1 citations

Abstract

Read-Across (RAx) serves as a strategy to fill a data gap in the toxicological profile of a substance (target) using existing information on similar source substances. The principle is applied also to a category of substances for which similarity may follow a regular trend. Demonstration of similarity is not trivial and requires the analysis of different steps, starting from the precise analytical characterization of both target and source substances and including the analysis of the impact that each minor difference can have on the final outcome. Application of QSARs and performing new experimental tests within the new approach methodologies (NAMs) is necessary to increase confidence in the final prediction and reduce the uncertainty.

Methods in molecular biologyVol. 2834
Team (Italy) (IT)
Zero hunger
Openalex Percentile: Top 15%
Computational Drug Discovery Methods
1.63
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Integration of QSAR and NAM in the Read-Across Process for an Effective and Relevant Toxicological Assessment — Costanza Rovida, Monica Locatelli, et al. · Methods in molecular biology (2024) | TGRS Research Map | TGRS