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Inroads to Predict in Vivo Toxicology—An Introduction to the eTOX Project

There is a widespread awareness that the wealth of preclinical toxicity data that the pharmaceutical industry has generated in recent decades is not exploited as efficiently as it could be. Enhanced data availability for compound comparison (“read-across”), or for data mining to build predictive too...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Briggs, Katharine, Cases, Montserrat, Heard, David J., Pastor, Manuel, Pognan, François, Sanz, Ferran, Schwab, Christof H., Steger-Hartmann, Thomas, Sutter, Andreas, Watson, David K., Wichard, Jörg D.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Molecular Diversity Preservation International (MDPI) 2012
Θέματα:
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3317745/
https://ncbi.nlm.nih.gov/pubmed/22489185
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms13033820
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