In silico ADME and Predictive Toxicology
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Owner/Developer: Safety Sciences for Medicines (safe sci med)
14 May 2018
In silico methods, defined as experiments and compound testing performed via computer simulation, have become an important tool in drug discovery and
in the development of medicines. Predictive in silico methods are getting considerably more reliable, they cover a broader spectrum of predictive endpoints
and are getting easier to use also for non-specialists. Reliable predictive models may replace costly experiments and thereby contribute to a cost-reduction
of the drug discovery and development process. This course will provide the participants with a comprehensive overview of in silico methods in drug
discovery and development as well as where they can be used and what their strengths and limitations are. Additionally, students will get hands-on
experience with several predictive in silico methods, e.g. web-based tools to predict simple ADME/Tox endpoints and purpose-developed software to
predict more complex ADME/Tox endpoints.
Key Subjects Covered by the Course
- Computational tools used in drug discovery and development, with focus on ADME/ Tox
- Absorption and distribution from a PK point of view
- Critical analysis of experimental data
- Prediction of absorption and distribution
- Phase I and II metabolism – the Cytochrome P450 enzymes
- Prediction of metabolism,
- Prediction of site of metabolism
- Prediction of toxicity (e.g. genotoxicity, phospholipidosis, hERG etc)
- Genomic effects on metabolism and toxicity
- Different QSAR systems available
Workshops, Hands-on training, Lecture
Optional / Voluntary
MSc degree in a Life Science discipline or equivalent
Students, Researchers, Regulators and policy-makers, Teachers and educators, Technicians, Scientific officers / Project managers
Academia, Industry, Governmental bodies, Contract Research Organizations (CROs), SMEs
Continuing Professional Development, University (Master)
Partial coverage (e.g. a module)
|Course level on animal species:||
On successful completion of the course, participants should have an integrated hands-on experience with in silico methods for prediction of various ADME/
Tox relevant end-points. More specifically, participants will be able to
- gain comprehensive overview of up-to-date in silico methods used in drug discovery and development
- explore and understand the diversity of large datasets
- critically analyse experimental data
- use web-based tools to predict simple ADME/Tox endpoints like drug-likeness, solubility, absorption, genotoxicity, phospholipidosis etc.
|Accreditation body and/or authority that approved the education or training:||
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