It’s fascinating how complex drug interactions can be, even with extensive pharmacokinetic data. For instance, the inhibitory effects of cytochrome P450 enzymes can create unexpected outcomes in drug metabolism. What are your thoughts on whether we can ever completely predict these interactions during the drug design phase?
It’s tough to nail down all potential interactions, especially when you mention cytochrome P450’s role in metabolism. I think we can certainly improve prediction models, but completely eliminating surprises seems unlikely. Have there been any specific cases where predictive models fell short for you?
I think while we can’t predict every interaction, boosting our in vitro testing systems might help; it’s like trying to predict the weather; we can get close, but sometimes a sunny day turns into a storm. @vincent_chem87, what do you think about using AI to model these interactions better?