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P-gp Transporter Models

Oct 16, 2012

P-gp Transporter Models

Oct 16, 2012

P-glycoprotein (P-gp) is an ATP driven efflux pump encoded by the MDR1 gene, capable of transporting a wide spectrum of chemical structures as well as different classes of drugs. Active transport by  P-gp can represent a serious hurdle for pharmaceuticals as transport by P-gp has been associated with reduced bioavailability of orally administered drugs and with decreased ability of drug candidates to cross blood-tissue barriers such as the blood-brain barrier. In addition, if a drug is subject to significant P-gp efflux, its distribution, absorption and elimination could be altered by potent P-gp inhibitors leading to drug-drug interactions. Therefore, from the drug discovery and development perspective, knowledge of the transport of drug candidates by P-gp is desirable at an early stage of the drug design process.

Full details of the data, methods, results and use of these models are provided in the detailed information that can be downloaded with the models, below.

Data

These models are based on data sets published by Zdrazil et al. (Mol. Inf. 31(8), pp. 599–609 (2012)) in a review of public domain data from assays of P-gp efflux activity. Two data sets have been used, one classifying compounds as P-pg inhibitors or non-inhibitors, the second containing pEC50 data from a daunorubicin transport assay in MDR CCRF vcr1000 cells.

Results

Classification

Continuous pEC50

Using the P-gp Transporter Models

The models can be downloaded for use within StarDrop from the following links:

P-gp_inhibitor_classification.aim

P-gp_pEC50.aim

To use these within StarDrop, download and save these files in a convenient place. Load them into StarDrop using the  button on the Models tab. Alternatively, the directory in which the model files have been saved can be added to the paths from which models are automatically loaded when StarDrop starts by selecting the File->Preference menu option and adding the directory under Models in the File Locations tab.

Full details of the models, data sets and detailed outputs from the modelling process may be downloaded in a .zip archive.