Literature DB >> 26966996

Advances in immobilized artificial membrane (IAM) chromatography for novel drug discovery.

Fotios Tsopelas1,2, Theodosia Vallianatou1, Anna Tsantili-Kakoulidou1.   

Abstract

INTRODUCTION: The development of immobilized artificial membrane (IAM) chromatography has unfolded new perspectives for the use of chromatographic techniques in drug discovery, combining simulation of the environment of cell membranes with rapid measurements. AREAS COVERED: The present review describes the characteristics of phosphatidylcholine-based stationary phases and analyses the molecular factors governing IAM retention in comparison to n-octanol-water and liposomes partitioning systems as well as to reversed phase chromatography. Other biomimetic stationary phases are also briefly discussed. The potential of IAM chromatography to model permeability through the main physiological barriers and drug membrane interactions is outlined. Further applications to calculate complex pharmacokinetic properties, related to tissue binding, and to screen drug candidates for phospholipidosis, as well as to estimate cell accumulation/retention are surveyed. EXPERT OPINION: The ambivalent nature of IAM chromatography, as a border case between passive diffusion and binding, defines its multiple potential applications. However, despite its successful performance in many permeability and drug-membrane interactions studies, IAM chromatography is still used as a supportive and not a stand-alone technique. Further studies looking at IAM chromatography in different biological processes are still required if this technique is to have a more focused and consistent application in drug discovery.

Entities:  

Keywords:  IAM chromatography; biomimetic chromatography; drug-membrane interactions; membrane permeability; phospholipophilicity

Mesh:

Substances:

Year:  2016        PMID: 26966996     DOI: 10.1517/17460441.2016.1160886

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  7 in total

Review 1.  High performance affinity chromatography and related separation methods for the analysis of biological and pharmaceutical agents.

Authors:  Chenhua Zhang; Elliott Rodriguez; Cong Bi; Xiwei Zheng; Doddavenkatana Suresh; Kyungah Suh; Zhao Li; Fawzi Elsebaei; David S Hage
Journal:  Analyst       Date:  2018-01-15       Impact factor: 4.616

2.  Modeling of Anticancer Sulfonamide Derivatives Lipophilicity by Chemometric and Quantitative Structure-Retention Relationships Approaches.

Authors:  Monika Pastewska; Beata Żołnowska; Strahinja Kovačević; Hanna Kapica; Maciej Gromelski; Filip Stoliński; Jarosław Sławiński; Wiesław Sawicki; Krzesimir Ciura
Journal:  Molecules       Date:  2022-06-21       Impact factor: 4.927

3.  Phosphatidylethanolamine functionalized biomimetic monolith for immobilized artificial membrane chromatography.

Authors:  Peijie Zhu; Weijia Chen; Qiqin Wang; Huihui Wu; Meng Ruan; Hongwu Wang; Zhengjin Jiang
Journal:  J Pharm Anal       Date:  2021-09-08

4.  Sorption of Cationic Surfactants to Artificial Cell Membranes: Comparing Phospholipid Bilayers with Monolayer Coatings and Molecular Simulations.

Authors:  Niels Timmer; Steven T J Droge
Journal:  Environ Sci Technol       Date:  2017-02-22       Impact factor: 9.028

5.  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 Valko; Silvia Rava; Shenaz Bunally; Scott Anderson
Journal:  ADMET DMPK       Date:  2020-01-31

6.  cΔlog kw IAM: can we afford estimation of small molecules' blood-brain barrier passage based upon in silico phospholipophilicity?

Authors:  Lucia Grumetto; Giacomo Russo
Journal:  ADMET DMPK       Date:  2021-12-15

7.  Prediction Models for Brain Distribution of Drugs Based on Biomimetic Chromatographic Data.

Authors:  Theodosia Vallianatou; Fotios Tsopelas; Anna Tsantili-Kakoulidou
Journal:  Molecules       Date:  2022-06-07       Impact factor: 4.927

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.