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计算机辅助药物设计在现代药物发现中的作用。

Role of computer-aided drug design in modern drug discovery.

机构信息

National Leading Research Laboratory of Molecular Modeling and Drug Design, College of Pharmacy and Graduate School of Pharmaceutical Sciences, and Global Top 5 Research Program, Ewha Womans University, Seoul, 120-750, Korea.

出版信息

Arch Pharm Res. 2015 Sep;38(9):1686-701. doi: 10.1007/s12272-015-0640-5. Epub 2015 Jul 25.

Abstract

Drug discovery utilizes chemical biology and computational drug design approaches for the efficient identification and optimization of lead compounds. Chemical biology is mostly involved in the elucidation of the biological function of a target and the mechanism of action of a chemical modulator. On the other hand, computer-aided drug design makes use of the structural knowledge of either the target (structure-based) or known ligands with bioactivity (ligand-based) to facilitate the determination of promising candidate drugs. Various virtual screening techniques are now being used by both pharmaceutical companies and academic research groups to reduce the cost and time required for the discovery of a potent drug. Despite the rapid advances in these methods, continuous improvements are critical for future drug discovery tools. Advantages presented by structure-based and ligand-based drug design suggest that their complementary use, as well as their integration with experimental routines, has a powerful impact on rational drug design. In this article, we give an overview of the current computational drug design and their application in integrated rational drug development to aid in the progress of drug discovery research.

摘要

药物发现利用化学生物学和计算药物设计方法,高效地鉴定和优化先导化合物。化学生物学主要涉及靶标的生物学功能和化学调节剂作用机制的阐明。另一方面,计算机辅助药物设计利用靶标(基于结构)或具有生物活性的已知配体(基于配体)的结构知识,有助于确定有前途的候选药物。现在,制药公司和学术研究小组都在使用各种虚拟筛选技术,以降低发现有效药物所需的成本和时间。尽管这些方法取得了快速进展,但未来药物发现工具仍需要不断改进。基于结构和基于配体的药物设计所呈现的优势表明,它们的互补使用以及与实验常规的整合,对合理药物设计具有强大的影响。本文概述了当前的计算药物设计及其在综合合理药物开发中的应用,以帮助推动药物发现研究的进展。

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