Fotios Tsopelas, Theodosia Vallianatou, Anna Tsantili-Kakoulidou
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引用次数: 0
摘要
简介固定化人工膜(IAM)色谱法广泛应用于药物发现的许多方面。它采用含有磷脂的固定相,将模拟生物膜与快速测量相结合:讨论了 IAM 固定相、色谱条件和基本保留机制方面的进展。概述了 IAM 色谱法在模拟渗透性和药物-膜相互作用方面的潜力,以及它在估算药代动力学特性和毒性终点(包括生态毒性)方面的用途。介绍了为构建 IAM 保留因子预测模型所做的努力:IAM 色谱法是介于分离和结合之间的一种方法,其应用范围已从渗透性研究扩展到涉及组织结合的过程。大多数基于 IAM 的渗透性模型都是包含额外分子描述因子的混合模型,而对于药代动力学特性和与非靶点结合的估算,IAM 保留因子则与其他生物模拟特性相结合。不过,要将 IAM 纳入常规药物发现方案,应开发出可靠的 IAM 预测模型,并在相关软件中实施,以便将其用于虚拟筛选和新分子设计。相反,用不同的磷脂或混合单体制备新的 IAM 色谱柱则可提高灵活性,并有可能根据目标特性调整条件。
Recent developments in the application of immobilized artificial membrane (IAM) chromatography to drug discovery.
Introduction: Immobilized 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 covered: Advances 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 opinion: IAM 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.
期刊介绍:
Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development.
The Editors welcome:
Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology
Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug
The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.