Key features
- DDI prediction using multiple CYP and/or UGT pathways
- Prediction of fraction metabolized (fm) (IVIVE Scaling factors: RAF, Abundance ISEF)
- Gut inhibition using a Model Predicted method
- Prediction of Fg using the Well-Stirred model, Qg and fug
- fu(mic) prediction (Austin or Huston methods)
- kabs prediction (First absorption rate model)
- CIH prediction (Well-Stirred model and INVIVE Scaling factors)
- Export: filtering capabilities, input values, AUC ratio prediction
- Results: DDI prediction statistics: Min, Max, Mean, Median SD, 5th-95th percentile
- Improve decision making during drug discovery and development
- Prioritize phase I studies and determine potential contra-indication in phase II/III
- Compare other marketed drugs in the same indication
- Rapid and accurate assessment of DDIs
- Accurately predict DDIs between drug candidates and a large panel of marketed and withdrawn drugs
- Use resulting predictions for risk assessment during the drug approval process
- Investigate DDIs towards potential co-administered drug (therapeutic class) for a given interaction
- DDI Predict draws from an extensive library containing more than 7,000 inhibition and more than 8,000 PK data points measured on 1,500 marketed drugs and withdrawn drugs
- Data extracted from the ADME database comprises experimental data from over 25,000 compounds, 3,500 metabolites, 365,000 biological data analyzed from more than 11,000 scientific journals and FDA documents
Uses
DMPK and GMPK specialists can use this new edition to:
Key benefits
In vitro and In vivo experimental data from the ADME Database
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Testimonials
About DDIPredict :"Using the DDI Predict software and our in vitro enzyme phenotyping data, I can predict clinical drug interactions between a compound in development and other already marketed drugs.
The software is user-friendly, quick and provides valuable overviews of potential DDIs. I see its potential application from early drug discovery to later clinical development."
Novartis Institutes for Biomedical Research, Drug-drug interactions/DMPK