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Filling Data Gaps by Read‐across: A Mini Review on its Application, Developments and Challenges
Author(s) -
Kovarich Simona,
Ceriani Lidia,
Fuart Gatnik Mojca,
Bassan Arianna,
Pavan Manuela
Publication year - 2019
Publication title -
molecular informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.481
H-Index - 68
eISSN - 1868-1751
pISSN - 1868-1743
DOI - 10.1002/minf.201800121
Subject(s) - computer science , data science , key (lock) , risk analysis (engineering) , business , computer security
Read‐across is a non‐testing data gap filling technique which provides information for toxicological assessments by inferring from known toxicity data of compound(s) with a “similar” property or chemical profile. The increased usage of read‐across was driven by monetary, timing and ethical costs associated with in vivo testing, as well as promoted by regulatory frameworks to minimize new animal testing (e. g., EU‐REACH). Several guidance documents have been published by ECHA and OECD providing guidelines on how to perform, assess and document a read‐across study. In parallel, much effort was invested by the scientific community to provide good read‐across practices and structured frameworks to enhance validity of read‐across justifications. Nevertheless, read‐across is an evolving method with several open issues and opportunities. A brief review is here provided on key developments on the use of read‐across, regulatory and scientific expectations, practical hurdles and open challenges.

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