IF 6 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Giulia Apprato, Giulia Caron, Gauri Deshmukh, Diego Garcia-Jimenez, Robin Thomas Ulrich Haid, Andy Pike, Andreas Reichel, Caroline Rynn, Zhang Donglu, Matthias Beat Wittwer
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引用次数: 0

摘要

简介:降解剂是一种日益重要的小分子亚模式,越来越多的论文和临床候选分子进入人体试验就说明了这一点。然而,它们的 ADME 和 PK/PD 特性的临床前优化仍然具有挑战性。目前正在开展大量研究工作,以阐明其基本原理并制定合理的优化策略:在这篇综述中,作者总结了目前体外检测和体内实验方面的最佳实践。此外,作者还整理并评论了当前对最佳理化特性的理解及其对吸收、分布、代谢和排泄特性的影响,包括当前对药物-药物相互作用的认识。最后,作者介绍了降解剂特有的药代动力学预测和药代动力学/药效学概念,以及如何在研究项目中最好地实施这些概念:尽管该领域最近取得了许多进展,但持续的研究将进一步加深我们对降解剂优化合理设计的理解。一旦有了更大、更可靠的数据集,机器学习和计算方法将变得越来越重要。此外,对组织靶向方法(尤其是中枢神经系统)的研究将越来越多,以阐明利用催化作用模式的有效药物治疗方案。最后,其他专门方法(如共价降解剂、LOVdegs)可以进一步丰富这一领域,并提供有趣的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding a needle in the haystack: ADME and pharmacokinetics/pharmacodynamics characterization and optimization toward orally available bifunctional protein degraders.

Introduction: Degraders are an increasingly important sub-modality of small molecules as illustrated by an ever-expanding number of publications and clinical candidate molecules in human trials. Nevertheless, their preclinical optimization of ADME and PK/PD properties has remained challenging. Significant research efforts are being directed to elucidate underlying principles and to derive rational optimization strategies.

Areas covered: In this review the authors summarize current best practices in terms of in vitro assays and in vivo experiments. Furthermore, the authors collate and comment on the current understanding of optimal physicochemical characteristics and their impact on absorption, distribution, metabolism and excretion properties including the current knowledge of Drug-Drug interactions. Finally, the authors describe the Pharmacokinetic prediction and Pharmacokinetic/Pharmacodynamic -concepts unique to degraders and how to best implement these in research projects.

Expert opinion: Despite many recent advances in the field, continued research will further our understanding of rational design regarding degrader optimization. Machine-learning and computational approaches will become increasingly important once larger, more robust datasets become available. Furthermore, tissue-targeting approaches (particularly regarding the Central Nervous System will be increasingly studied to elucidate efficacious drug regimens that capitalize on the catalytic mode of action. Finally, additional specialized approaches (e.g. covalent degraders, LOVdegs) can enrich the field further and offer interesting alternative approaches.

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来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
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.
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