重新设计已撤销药物以提高疗效和安全性的策略综述

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Chirag N. Patel, Adeeba Shakeel, Raghvendra Mall, Khadija M. Alawi, Ivan V. Ozerov, Alex Zhavoronkov, Filippo Castiglione
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引用次数: 0

摘要

药物毒性和市场退出是两个经常阻碍漫长而复杂的药物发现过程的问题。为了提高药物的有效性和安全性,本文综述了已撤销的药物,并提出了一种新的重新设计药物的范例。除了解决毒性数据集的方法学问题外,本研究还强调了计算机药物毒性预测模型的重要缺陷,并提出了解决方案。随着3D类器官和器官芯片(OoC)技术的出现,高通量筛选(HTS)取得了巨大进展,这些技术提供了复制人体组织结构和功能的生理上适当的系统。这些系统为药物开发、毒性评估和疾病建模提供了准确的、与人类相关的数据,克服了传统二维细胞培养和动物模型的局限性。将它们整合到HTS管道中已显示出重大影响,促进了药物重新设计工作并提高了临床前研究的准确性。本研究强调了基于片段的药物发现在与传统技术相结合时增强药代动力学(PK)和药效学(PD)的潜力。讨论了动物模型的局限性,重点讨论了生物工程人性化系统的需求,如OoC技术和3D类器官。为了提高候选药物筛选和模拟真实疾病,先进的模型是至关重要的。这提高了靶标亲和力,减少了不良反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Strategies for Redesigning Withdrawn Drugs to Enhance Therapeutic Efficacy and Safety: A Review

Strategies for Redesigning Withdrawn Drugs to Enhance Therapeutic Efficacy and Safety: A Review

Drug toxicity and market withdrawals are two issues that often obstruct the lengthy and intricate drug discovery process. In order to enhance drug effectiveness and safety, this review examines withdrawn drugs and presents a novel paradigm for their redesign. In addition to addressing methodological issues with toxicity datasets, this study highlights important shortcomings in in silico drug toxicity prediction models and suggests solutions. High-throughput screening (HTS) has greatly progressed with the advent of 3D organoid and organ-on-chip (OoC) technologies, which provide physiologically appropriate systems that replicate the structure and function of human tissue. These systems provide accurate, human-relevant data for drug development, toxicity evaluation, and disease modeling, overcoming the limitations of traditional 2D cell cultures and animal models. Their integration into HTS pipelines has shown to have a major influence, promoting drug redesign efforts and enabling improved accuracy in preclinical research. The potential of fragment-based drug discovery to enhance pharmacokinetics (PK) and pharmacodynamics (PD) when combined with conventional techniques is highlighted in this study. The limits of animal models are discussed, with a focus on the need of bioengineered humanized systems such OoC technologies and 3D organoids. To improve drug candidate screening and simulate real illnesses, advanced models are crucial. This leads to improved target affinity and fewer adverse effects.

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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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