Computational drug-drug interaction prediction
What is it about?
A review on computational approaches for predicting drug-drug interactions with cytochrome P450s and transporters. We summarize a large body work over the last decade or so. We describe pharmacophore, machine learning, protein-based modeling, hybrid approaches, informatics driven approaches, physiological based pharmacokinetics modeling.
Why is it important?
We describe common computational approaches, and some of the models that have been built with various machine learning approaches. We also mention the prediction of interactions with Traditional Chinese Medicines. Several tables describe web servers for predicting drug-drug interactions
The following have contributed to this page: Dr Sean Ekins