药物发现中结合自由能计算的缓慢而稳定的增长

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Huafeng Xu
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引用次数: 6

摘要

结合自由能计算越来越多地用于药物发现研究,以预测蛋白质与配体的结合亲和力,并相应地优先考虑候选药物分子。经过数十年的集体努力,将这一学术概念转化为制药和生物技术行业采用的技术。在亲身见证并参与了这一转变之后,我在这里列出了(不完整的)必须解决的问题清单,以使这一计算工具变得实用,并提出了未来发展的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The slow but steady rise of binding free energy calculations in drug discovery

The slow but steady rise of binding free energy calculations in drug discovery

Binding free energy calculations are increasingly used in drug discovery research to predict protein-ligand binding affinities and to prioritize candidate drug molecules accordingly. It has taken decades of collective effort to transform this academic concept into a technology adopted by the pharmaceutical and biotech industry. Having personally witnessed and taken part in this transformation, here I recount the (incomplete) list of problems that had to be solved to make this computational tool practical and suggest areas of future development.

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来源期刊
Journal of Computer-Aided Molecular Design
Journal of Computer-Aided Molecular Design 生物-计算机:跨学科应用
CiteScore
8.00
自引率
8.60%
发文量
56
审稿时长
3 months
期刊介绍: The Journal of Computer-Aided Molecular Design provides a form for disseminating information on both the theory and the application of computer-based methods in the analysis and design of molecules. The scope of the journal encompasses papers which report new and original research and applications in the following areas: - theoretical chemistry; - computational chemistry; - computer and molecular graphics; - molecular modeling; - protein engineering; - drug design; - expert systems; - general structure-property relationships; - molecular dynamics; - chemical database development and usage.
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