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Designing small-molecule compounds and delivery systems capable of crossing the blood–brain barrier (BBB) remains a major obstacle in central nervous system (CNS) drug development. This challenge is compounded by the lack of robust, rapid, and cost-effective methods for early-stage assessment of BBB permeability. In this study, we addressed this gap by evaluating immobilized artificial membrane (IAM) chromatography as a high-throughput screening tool using a set of 50 marketed drugs with diverse chemical structures and well-documented CNS penetration profiles (both positive and negative). The strong correlation between IAM retention parameters (k IAM) and passive diffusion-based permeability confirms the ability of this biomimetic method to simulate drug–membrane interactions, establishing IAM chromatography as a reliable and economical alternative to more complex cell-based and in vivo models. Additionally, the integration of IAM data with in silico molecular descriptors yields a predictive model for intestinal absorption, offering a powerful tool for early permeability profiling in drug discovery.
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Simić et al. (2026) studied this question.
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