Predicting drug metabolism: experiment and/or computation?
File(s)
Author(s)
Type
Journal Article
Abstract
Abstract | Drug metabolism can produce metabolites with physicochemical and
pharmacological properties that differ substantially from those of the parent drug,
and consequently has important implications for both drug safety and efficacy.
To reduce the risk of costly clinical-stage attrition due to the metabolic
characteristics of drug candidates, there is a need for efficient and reliable ways to
predict drug metabolism in vitro, in silico and in vivo. In this Perspective, we provide
an overview of the state of the art of experimental and computational approaches
for investigating drug metabolism. We highlight the scope and limitations of these
methods, and indicate strategies to harvest the synergies that result from
combining measurement and prediction of drug metabolism.
pharmacological properties that differ substantially from those of the parent drug,
and consequently has important implications for both drug safety and efficacy.
To reduce the risk of costly clinical-stage attrition due to the metabolic
characteristics of drug candidates, there is a need for efficient and reliable ways to
predict drug metabolism in vitro, in silico and in vivo. In this Perspective, we provide
an overview of the state of the art of experimental and computational approaches
for investigating drug metabolism. We highlight the scope and limitations of these
methods, and indicate strategies to harvest the synergies that result from
combining measurement and prediction of drug metabolism.
Date Issued
2015-04-08
Date Acceptance
2015-04-01
Citation
Nature Reviews Drug Discovery, 2015, 14 (May 2015), pp.387-404
ISSN
1474-1784
Publisher
Nature Publishing Group
Start Page
387
End Page
404
Journal / Book Title
Nature Reviews Drug Discovery
Volume
14
Issue
May 2015
Copyright Statement
© 2015 Springer-Nature. The final publication is available at Springer via https://doi.org/10.1038/nrd4581
Identifier
https://www.nature.com/articles/nrd4581
Subjects
Science & Technology
Life Sciences & Biomedicine
Biotechnology & Applied Microbiology
Pharmacology & Pharmacy
MOLECULAR-DYNAMICS SIMULATIONS
MONOAMINE-OXIDASE INHIBITORS
GLUTATHIONE-S-TRANSFERASE
FREE-ENERGY CALCULATIONS
MASS-SPECTROMETRY
IN-SILICO
CYTOCHROMES P450
XENOBIOTIC METABOLISM
ACTIVE-SITE
BINDING-SITES
Animals
Computational Biology
Drug Design
Drug Discovery
Forecasting
Humans
Pharmaceutical Preparations
Animals
Humans
Pharmaceutical Preparations
Computational Biology
Drug Design
Forecasting
Drug Discovery
Pharmacology & Pharmacy
06 Biological Sciences
11 Medical and Health Sciences
Notes
Final proof of article minus pagination.
Publication Status
Published
Coverage Spatial
UK
Date Publish Online
2015-04-24