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Developing Structure−Activity Relationships for the Prediction of Hepatotoxicity
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The application of structure-based assessment to support safety and chemistry diligence to manage genotoxic impurities in active pharmaceutical ingredients during drug development
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Identification of structure–activity relationships for adverse effects of pharmaceuticals in humans: Part C: Use of QSAR and an expert system for the estimation of the mechanism of action of drug-induced hepatobiliary and urinary tract toxicities
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Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part B. Use of (Q)SAR systems for early detection of drug-induced hepatobiliary and urinary tract toxicities
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MECHANISM-BASED INACTIVATION OF HUMAN RECOMBINANT P450 2C9 BY THE NONSTEROIDAL ANTI-INFLAMMATORY DRUG SUPROFEN
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Drug‐Induced Hepatotoxicity: Advances in Preclinical Predictive Strategies and Tools
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In Silico Models for Hepatotoxicity
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QSAR Models at the US FDA/NCTR
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Additional file 1 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
inferred← citeshttps://doi.org/10.6084/m9.figshare.13605383openalex-snapshot
Additional file 2 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
inferred← citeshttps://doi.org/10.6084/m9.figshare.13605386openalex-snapshot
Additional file 3 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
inferred← citeshttps://doi.org/10.6084/m9.figshare.13605389openalex-snapshot
Additional file 4 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
inferred← citeshttps://doi.org/10.6084/m9.figshare.13605392openalex-snapshot
Additional file 5 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
inferred← citeshttps://doi.org/10.6084/m9.figshare.13605395openalex-snapshot
Additional file 6 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
inferred← citeshttps://doi.org/10.6084/m9.figshare.13605398openalex-snapshot
Additional file 7 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
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Additional file 8 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
inferred← citeshttps://doi.org/10.6084/m9.figshare.13605404openalex-snapshot
Additional file 9 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
inferred← citeshttps://doi.org/10.6084/m9.figshare.26660293openalex-snapshot
Additional file 1 of InterDILI: interpretable prediction of drug-induced liver injury through permutation feature importance and attention mechanism
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vToxiNet: a biologically constrained deep learning framework for interpretable prediction of drug-induced hepatotoxicity
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