Revisiting the application of Immobilized Artificial Membrane (IAM) chromatography to estimate in vivo distribution properties of drug discovery compounds based on the model of marketed drugs

Authors

  • Klara Livia Valko Bio-Mimetic Chromatography, Director, Honorary Professor UCL School of Pharmacy, United Kingdom
  • Silvia Rava 1University of Pavia, Italy, Erasmus internship at Bio-Mimetic Chromatography Ltd. Business and Technology Centre, Bessemer Drive, Stevenage, SG1 2DX, United Kingdom
  • Shenaz Bunally Head of Physicochemical Characterization Group at GSK, Stevenage, United Kingdom
  • Scott Anderson Product manager at Regis Technologies Inc., United Kingdom

DOI:

https://doi.org/10.5599/admet.757

Keywords:

Phospholipid binding, HPLC, the volume of distribution, tissue binding, drug efficiency.

Abstract

Immobilized Artificial Membrane (IAM) chromatography columns have been used to model the in vivo distribution of drug discovery compounds. Regis Technologies Inc., the manufacturer, had to replace the silica support and consequently introduced a new IAM.PC.DD2 column that shows slightly different selectivity towards acidic and basic compounds. The application of the new IAM.PC.DD2 columns has been evaluated and the in vivo distribution models have been compared with the previous batches of columns. It was found that due to the improved endcapping of the silica, some of the positively charged drug molecules showed shorter retention than previously published. Therefore, the column system suitability data have been updated. However, these differences do not significantly affect the previously published models for the volume of distribution, brain tissue binding and drug efficiency. Therefore, the published models can be used with the new IAM.PC.DD2 columns.

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Published

04-03-2020

Issue

Section

Original Scientific Articles

How to Cite

Revisiting the application of Immobilized Artificial Membrane (IAM) chromatography to estimate in vivo distribution properties of drug discovery compounds based on the model of marketed drugs. (2020). ADMET and DMPK, 8(1), 78-97. https://doi.org/10.5599/admet.757

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