Recent developments in the application of immobilized artificial membrane (IAM) chromatography to drug discovery

被引:3
|
作者
Tsopelas, Fotios [1 ]
Vallianatou, Theodosia [2 ]
Tsantili-Kakoulidou, Anna [3 ]
机构
[1] Natl Tech Univ Athens, Sch Chem Engn, Lab Inorgan & Analyt Chem, Athens, Greece
[2] Uppsala Univ, Dept Pharmaceut Biosci, Uppsala, Sweden
[3] Natl & Kapodistrian Univ Athens, Sch Pharm, Dept Pharmaceut Chem, Athens, Greece
关键词
Immobilized artificial membrane (IAM) chromatography; IAM stationary phases; membrane permeability; drug-membrane interactions; tissue binding; toxicity; ecotoxicity; IAM prediction models; PHOSPHOLIPID STATIONARY PHASES; BLOOD-BRAIN-BARRIER; HUMAN SERUM-ALBUMIN; PARTITION-COEFFICIENTS; LIQUID-CHROMATOGRAPHY; PHOSPHATIDYLCHOLINE COLUMN; POLAR INTERACTIONS; MONOLITHIC COLUMN; EFFICIENCY INDEX; HPLC;
D O I
10.1080/17460441.2024.2374409
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
IntroductionImmobilized artificial membrane (IAM) chromatography is widely used in many aspects of drug discovery. It employs stationary phases, which contain phospholipids combining simulation of biological membranes with rapid measurements.Areas coveredAdvances in IAM stationary phases, chromatographic conditions and the underlying retention mechanism are discussed. The potential of IAM chromatography to model permeability and drug-membrane interactions as well as its use to estimate pharmacokinetic properties and toxicity endpoints including ecotoxicity, is outlined. Efforts to construct models for prediction IAM retention factors are presented.Expert opinionIAM chromatography, as a border case between partitioning and binding, has broadened its application from permeability studies to encompass processes involving tissue binding. Most IAM-based permeability models are hybrid models incorporating additional molecular descriptors, while for the estimation of pharmacokinetic properties and binding to off targets, IAM retention is combined with other biomimetic properties. However, for its integration into routine drug discovery protocols, reliable IAM prediction models implemented in relevant software should be developed, to enable its use in virtual screening and the design of new molecules. Conversely, preparation of new IAM columns with different phospholipids or mixed monomers offers enhanced flexibility and the potential to tailor the conditions according to the target property.
引用
收藏
页码:1087 / 1098
页数:12
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