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Home - Toxicity DataViz by Innovamol​

A non-clinical and clinical IUCLID database dashboard for pharmaceuticals​

Access structured toxicological data across study types with the help of the US FDA's toxicity dashboard's data visualisation tools. The dashboard simplifies and enables accurate correlation and concordance analyses by effectively harnessing both animal and human data, and it is designed to aid in the development of advanced predictive toxicological models including QSARs. ​

Further, it can be used to improve the integrity of industrial chemical regulatory systems in the context of New Approach Methodologies (NAMs), Integrated Approaches to Testing and Assessment (IATAs), Classification, Labelling, and Packaging (CLP), and Adverse Outcome Pathways (AOPs). Furthermore, the information can be used as a powerful tool to predict pharmaceutical attrition rates in pipeline drug development, detect early adverse reactions, and prevent clinical trial failures. ​

Reference: Evangelisti et al. A non-clinical and clinical IUCLID database for 530 pharmaceuticals (part I): Methodological aspects of its development. Regulatory Toxicology and Pharmacology, 2023, 105416. https://doi.org/10.1016/j.yrtph.2023.105416

530

New drug applications (NDAs)

New drug applications (NDAs)

6021

Non clinical studies

Non clinical studies

113477

Annotated non-clinical effects

Annotated non-clinical effects

3414

Unique ontological terms

Unique ontological terms

566

Reference substances

Reference substances

15652

Adverse reactions from standard product labels (SPLs)​

Adverse reactions from standard product labels (SPLs)​

Drug data​

Molecolar weight distribution

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Most common pharmacological class​
Browse NDAs
Name
NDA016608-carbamazepine
NDA017558-glycopyrrolate
NDA017970-tamoxifen citrate
NDA018998-enalapril maleate
NDA019386-esmolol hydrochloride
NDA019922-fenoldopam mesylate
More details...

Non-clinical data (animal)

Pharmacological study type
Species distribution
Effect Basis distribution
RDT route of administration
RDT study endpoint

Non-clinical data (human)

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