(Q)SAR Modeling and Safety Assessment in Regulatory Review

The ability to predict clinical safety based on chemical structures is becoming an increasingly important part of regulatory decision making. (Quantitative) structure–activity relationship ((Q)SAR) models are currently used to evaluate late‐arising safety concerns and possible nonclinical effects of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Clinical pharmacology and therapeutics 2012-03, Vol.91 (3), p.529-534
Hauptverfasser: Kruhlak, N L, Benz, R D, Zhou, H, Colatsky, T J
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The ability to predict clinical safety based on chemical structures is becoming an increasingly important part of regulatory decision making. (Quantitative) structure–activity relationship ((Q)SAR) models are currently used to evaluate late‐arising safety concerns and possible nonclinical effects of a drug and its related compounds when adequate safety data are absent or equivocal. Regulatory use will likely increase with the standardization of analytical approaches, more complete and reliable data collection methods, and a better understanding of toxicity mechanisms. Clinical Pharmacology & Therapeutics (2012); 91 3, 529–534. doi:10.1038/clpt.2011.300
ISSN:0009-9236
1532-6535
DOI:10.1038/clpt.2011.300