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药物研发中临床前安全性和药代动力学评估的集成网络服务器的最新发展。

Current development of integrated web servers for preclinical safety and pharmacokinetics assessments in drug development.

机构信息

National Taiwan University.

出版信息

Brief Bioinform. 2021 May 20;22(3). doi: 10.1093/bib/bbaa160.

DOI:10.1093/bib/bbaa160
PMID:32770190
Abstract

In drug development, preclinical safety and pharmacokinetics assessments of candidate drugs to ensure the safety profile are a must. While in vivo and in vitro tests are traditionally used, experimental determinations have disadvantages, as they are usually time-consuming and costly. In silico predictions of these preclinical endpoints have each been developed in the past decades. However, only a few web-based tools have integrated different models to provide a simple one-step platform to help researchers thoroughly evaluate potential drug candidates. To efficiently achieve this approach, a platform for preclinical evaluation must not only predict key ADMET (absorption, distribution, metabolism, excretion and toxicity) properties but also provide some guidance on structural modifications to improve the undesired properties. In this review, we organized and compared several existing integrated web servers that can be adopted in preclinical drug development projects to evaluate the subject of interest. We also introduced our new web server, Virtual Rat, as an alternative choice to profile the properties of drug candidates. In Virtual Rat, we provide not only predictions of important ADMET properties but also possible reasons as to why the model made those structural predictions. Multiple models were implemented into Virtual Rat, including models for predicting human ether-a-go-go-related gene (hERG) inhibition, cytochrome P450 (CYP) inhibition, mutagenicity (Ames test), blood-brain barrier penetration, cytotoxicity and Caco-2 permeability. Virtual Rat is free and has been made publicly available at https://virtualrat.cmdm.tw/.

摘要

在药物开发中,必须对候选药物进行临床前安全性和药代动力学评估,以确保其安全性。虽然传统上使用体内和体外测试,但实验测定有其缺点,因为它们通常既耗时又昂贵。在过去几十年中,已经开发出了这些临床前终点的计算预测方法。然而,只有少数基于网络的工具整合了不同的模型,提供了一个简单的一步式平台,以帮助研究人员彻底评估潜在的药物候选物。为了有效地实现这一方法,临床前评估平台不仅必须预测关键的 ADMET(吸收、分布、代谢、排泄和毒性)特性,还必须提供一些关于结构修饰的指导,以改善不理想的特性。在这篇综述中,我们组织并比较了几个现有的集成网络服务器,这些服务器可以在临床前药物开发项目中采用,以评估感兴趣的主题。我们还介绍了我们的新网络服务器,Virtual Rat,作为一种替代选择,用于分析候选药物的特性。在 Virtual Rat 中,我们不仅提供了重要的 ADMET 特性预测,还提供了模型做出这些结构预测的可能原因。多个模型被整合到了 Virtual Rat 中,包括用于预测人 ether-a-go-go 相关基因 (hERG) 抑制、细胞色素 P450 (CYP) 抑制、致突变性 (Ames 试验)、血脑屏障穿透性、细胞毒性和 Caco-2 通透性的模型。Virtual Rat 是免费的,并已在 https://virtualrat.cmdm.tw/ 上公开发布。

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