| Autor: |
Schleiff MA; Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA., Dhaware D; Biotransformation and ADME, Research and Development, Orion Corporation, Espoo, Finland., Sodhi JK; Department of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, CA, USA. |
| Jazyk: |
angličtina |
| Zdroj: |
Drug metabolism reviews [Drug Metab Rev] 2021 May; Vol. 53 (2), pp. 173-187. Date of Electronic Publication: 2021 May 11. |
| DOI: |
10.1080/03602532.2021.1910292 |
| Abstrakt: |
Many drug candidates fail during preclinical and clinical trials due to variable or unexpected metabolism which may lead to variability in drug efficacy or adverse drug reactions. The drug metabolism field aims to address this important issue from many angles which range from the study of drug-drug interactions, pharmacogenomics, computational metabolic modeling, and others. This manuscript aims to provide brief but comprehensive manuscript summaries highlighting the conclusions and scientific importance of seven exceptional manuscripts published in recent years within the field of drug metabolism. Two main topics within the field are reviewed: novel computational metabolic modeling approaches which provide complex outputs beyond site of metabolism predictions, and experimental approaches designed to discern the impacts of interindividual variability and species differences on drug metabolism. The computational approaches discussed provide novel outputs in metabolite structure and formation likelihood and/or extend beyond the saturated field of drug phase I metabolism, while the experimental metabolic pathways assessments aim to highlight the impacts of genetic polymorphisms and clinical animal model metabolic differences on human metabolism and subsequent health outcomes. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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