Organic Cation Transporter 2 machine learning models
What is it about?
We generated inhibition data for six structurally distinct substrates: MPP, metformin, N,N,N-trimethyl-2-[methyl(7-nitrobenzo[c][1,2,5]oxadiazol-4-yl)amino]ethanaminium (NBD-MTMA), TEA, cimetidine, and 4-4-dimethylaminostyryl-N-methylpyridinium (ASP). These were then used to generate Bayesian machine learning models with different tools (Discovery Studio and Assay Central). These models were used to predict a test set. We showed metformin appears the best substrate for use in vivo and in vitro.
Why is it important?
Organic cation transporter (OCT) 2 mediates the entry step for organic cation secretion by renal proximal tubule cells and is a site of unwanted drug-drug interactions (DDIs). It was not clear if substrate dependence of a ligand interaction was common among OCT2 substrates.
The following have contributed to this page: Dr Sean Ekins