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doi:10.22028/D291-38942 | Title: | Novel models for the prediction of drug-gene interactions |
| Author(s): | Türk, Denise Fuhr, Laura Maria Marok, Fatima Zahra Rüdesheim, Simeon Kühn, Anna Selzer, Dominik Schwab, Matthias Lehr, Thorsten |
| Language: | English |
| Title: | Expert Opinion on Drug Metabolism & Toxicology |
| Volume: | 17 |
| Issue: | 11 |
| Pages: | 1293-1310 |
| Publisher/Platform: | Taylor & Francis |
| Year of Publication: | 2021 |
| Free key words: | Dose adaptation drug–drug–gene interaction drug–gene interaction mathematical modeling pharmacodynamics pharmacogenetics pharmacokinetics physiologically based pharmacokinetics population pharmacokinetics |
| DDC notations: | 500 Science |
| Publikation type: | Journal Article |
| Abstract: | Adverse drug reactions (ADRs) are among the leading causes of death, and frequently associated with drug–gene interactions (DGIs). In addition to pharmacogenomic programs for implementation of genetic preemptive testing into clinical practice, mathematical modeling can help to understand, quantify and predict the effects of DGIs in vivo. Moreover, modeling can contribute to optimize prospective clinical drug trial activities and to reduce DGI-related ADRs. |
| DOI of the first publication: | 10.1080/17425255.2021.1998455 |
| URL of the first publication: | https://doi.org/10.1080/17425255.2021.1998455 |
| Link to this record: | urn:nbn:de:bsz:291--ds-389423 hdl:20.500.11880/35128 http://dx.doi.org/10.22028/D291-38942 |
| ISSN: | 1744-7607 1742-5255 |
| Date of registration: | 7-Feb-2023 |
| Description of the related object: | Supplemental material |
| Related object: | https://ndownloader.figstatic.com/files/31469258 |
| Faculty: | NT - Naturwissenschaftlich- Technische Fakultät |
| Department: | NT - Pharmazie |
| Professorship: | NT - Prof. Dr. Thorsten Lehr |
| Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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