Quantitative Systems Toxicology Modeling To Address Key Safety Questions in Drug Development: A Focus of the TransQST Consortium
Author(s) -
Sofia Ferreira,
Ciarán Fisher,
Laura I. Furlong,
Loïc Laplanche,
Brian Kevin Park,
Carmen Pin,
Julio Sáez-Rodríguez,
Panuwat Trairatphisan
Publication year - 2020
Publication title -
chemical research in toxicology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.031
H-Index - 156
eISSN - 1520-5010
pISSN - 0893-228X
DOI - 10.1021/acs.chemrestox.9b00499
Subject(s) - key (lock) , drug development , data science , computer science , drug , toxicology , risk analysis (engineering) , medicine , pharmacology , biology , computer security
Omics data have been increasingly generated with limited demonstrated value in drug safety assessment. The TransQST consortium was launched to use omics and other data in mechanistic-based quantitative systems toxicology (QST) models to evaluate their potential use in species translation.
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