Quantitative model of P-glycoprotein substrate specificity and its application to predicting unbound brain/plasma partitioning ratio

3 Jun 2025

In this poster, ACD/Labs demonstrates a quantitative model of P-glycoprotein (P-gp) substrate specificity, aimed at improving predictions of drug transport across the blood-brain barrier.

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Medicinal ChemistryMedicinal chemistry is a broad discipline encompassing the design, identification, synthesis and development of chemicals in drug discovery. It includes a number of techniques covering structural biology, synthetic chemistry and molecular biology. Technologies used in medicinal chemistry include ADME, lab-on-a-chip, high content screening and assay assembly.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.ADME-ToxicologyADME-toxicology (ADME-Tox) studies are used in pharmacology and pharmacokinetics to assess the activity/toxicity of drugs <i>in vivo</i> or <i>in vitro</i>. Find bioassays for absorption, distribution, metabolism, and excretion of drug molecules including cytotoxicity, transporter/permeability, metabolism and activity assays as well as hepatocytes and cell lines for ADME. Find the best ADME-toxicology products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.
Quantitative model of P-glycoprotein substrate specificity and its application to predicting unbound brain/plasma partitioning ratio