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Published on: November 7, 2019
Modeling ADMET
Jayeeta Ghosh1, Michael S Lawless1, Marvin Waldman1
1Simulations Plus, Inc., 42505 10th Street West, Lancaster, 93534-7059, CA, USA.
Computational tools predict drug molecule ADMET profiles early in discovery. This approach minimizes costly late-stage failures due to poor pharmacokinetics and toxicity, streamlining drug development.
Area of Science:
- Drug Discovery and Development
- Computational Chemistry
- Pharmacokinetics
Background:
- Drug discovery is expensive and time-consuming.
- Late-stage failures are often due to poor Adsorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) profiles.
- Early identification of ADMET issues is crucial.
Purpose of the Study:
- To detail the development and application of ADMET models.
- To demonstrate the use of ADMET Predictor™ 7.2 software.
- To highlight the importance of early ADMET profiling in drug discovery.
Main Methods:
- Development of in silico ADMET models.
- Application of computational tools for prediction.
- Utilizing ADMET Predictor™ 7.2 software for analysis.
Main Results:
- Established methods for developing and applying ADMET models.
- Demonstrated the practical use of ADMET Predictor™ 7.2.
- Provided a framework for early-stage ADMET assessment.
Conclusions:
- Early ADMET profiling is essential for efficient drug discovery.
- Computational tools like ADMET Predictor™ 7.2 facilitate early assessment.
- Integrating ADMET models reduces late-stage attrition and development costs.
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