Overcoming challenges in drug metabolism: in silico approaches
Interpreting metabolite-ID experiments; determining the right species for animal studies; providing optimisation suggestions for your medicinal chemistry colleagues to overcome…
A practical guide for medicinal chemists and DMPK scientists
Metabolic liability is one of the leading causes of late-stage drug failure. But with the right in silico models, you can identify and design out problems early, preventing wasted time and resources.
In this free guide, you’ll discover how to answer key questions, including:
- How can I design a compound with improved metabolic stability?
- Which enzymes are responsible for my compound’s metabolism?
- Which metabolites will be formed from my compound?
- How can I reduce the risk of drug-drug interactions?
- Which animal species should I use in my preclinical toxicity studies?
More metabolism resources
Which is the best metabolite prediction software?
Discover which metabolite prediction software is best for your needs in this comprehensive guide from Optibrium. Compare top tools like Meteor Nexus, MetaSite, and StarDrop to make informed decisions for drug metabolism prediction
Predicting reactivity to drug metabolism: beyond CYPs
Introduction Predicting sites of metabolism (SoM) enable chemists to be more efficient in optimising the structure of new chemical entities…
