Background#R##N#The human ATP binding cassette transporters Breast Cancer Resistance Protein (BCRP) and Multidrug Resistance Protein 1 (P-gp) are co-expressed in many tissues and barriers, especially at the blood–brain barrier and at the hepatocyte canalicular membrane. Understanding their interplay in affecting the pharmacokinetics of drugs is of prime interest. In silico tools to predict inhibition and substrate profiles towards BCRP and P-gp might serve as early filters in the drug discovery and development process. However, to build such models, pharmacological data must be collected for both targets, which is a tedious task, often involving manual and poorly reproducible steps.
['Floriane Montanari', 'Barbara Zdrazil', 'Daniela Digles', 'Gerhard F. Ecker']
Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learning