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Successful Applications of Computer Aided Drug Discovery: Moving Drugs from Concept to the Clinic

机译:计算机辅助药物发现的成功应用:将药物从概念转移到临床

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摘要

Drug discovery and development is an interdisciplinary, expensive and time-consuming process. Scientific advancements during the past two decades have changed the way pharmaceutical research generate novel bioactive molecules. Advances in computational techniques and in parallel hardware support have enabled in silico methods, and in particular structure-based drug design method, to speed up new target selection through the identification of hits to the optimization of lead compounds in the drug discovery process. This review is focused on the clinical status of experimental drugs that were discovered and/or optimized using computer-aided drug design. We have provided a historical account detailing the development of 12 small molecules (Captopril, Dorzolamide, Saquinavir, Zanamivir, Oseltamivir, Aliskiren, Boceprevir, Nolatrexed, TMI-005, LY-517717, Rupintrivir and NVP-AUY922) that are in clinical trial or have become approved for therapeutic use.
机译:药物发现和开发是一个跨学科,昂贵且耗时的过程。过去二十年来的科学进步改变了药物研究产生新型生物活性分子的方式。计算机技术的进步和并行硬件支持的进步,已使计算机模拟方法,特别是基于结构的药物设计方法,能够通过在药物发现过程中识别出对先导化合物最优化的命中点来加快新靶标的选择。这篇综述着重于使用计算机辅助药物设计发现和/或优化的实验药物的临床状况。我们提供了一个历史记录,详细介绍了在临床试验或临床试验中开发的12种小分子(卡托普利,多佐胺,沙奎那韦,扎那米韦,奥瑟他韦,阿利斯基仑,博西普韦,诺拉曲德,TMI-005,LY-517717,鲁平三韦和NVP-AUY922)的发展已被批准用于治疗用途。

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