Suppr超能文献

分子对接的艺术与科学。

The Art and Science of Molecular Docking.

机构信息

Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, California, USA.

Department of Computer Science, Stanford University, Stanford, California, USA; email:

出版信息

Annu Rev Biochem. 2024 Aug;93(1):389-410. doi: 10.1146/annurev-biochem-030222-120000. Epub 2024 Jul 2.

Abstract

Molecular docking has become an essential part of a structural biologist's and medicinal chemist's toolkits. Given a chemical compound and the three-dimensional structure of a molecular target-for example, a protein-docking methods fit the compound into the target, predicting the compound's bound structure and binding energy. Docking can be used to discover novel ligands for a target by screening large virtual compound libraries. Docking can also provide a useful starting point for structure-based ligand optimization or for investigating a ligand's mechanism of action. Advances in computational methods, including both physics-based and machine learning approaches, as well as in complementary experimental techniques, are making docking an even more powerful tool. We review how docking works and how it can drive drug discovery and biological research. We also describe its current limitations and ongoing efforts to overcome them.

摘要

分子对接已经成为结构生物学家和药物化学家工具包中不可或缺的一部分。给定一个化学化合物和一个分子靶标的三维结构 - 例如,一个蛋白质 - 对接方法将化合物拟合到靶标中,预测化合物的结合结构和结合能。对接可用于通过筛选大型虚拟化合物库来发现靶标的新型配体。对接还可以为基于结构的配体优化或研究配体的作用机制提供有用的起点。计算方法的进步,包括基于物理和机器学习的方法以及互补的实验技术,使对接成为更强大的工具。我们回顾了对接的工作原理以及它如何推动药物发现和生物研究。我们还描述了它目前的局限性和正在努力克服这些局限性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验