Pocket Crafter:基于三维生成建模的工作流程,用于快速生成药物发现中的热门分子。

IF 7.1 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Journal of Cheminformatics Pub Date : 2024-03-21 DOI:10.1186/s13321-024-00829-w
Lingling Shen, Jian Fang, Lulu Liu, Fei Yang, Jeremy L. Jenkins, Peter S. Kutchukian, He Wang
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引用次数: 0

摘要

我们介绍了一种名为 Pocket Crafter 的用户友好型分子生成管道,该管道专门设计用于促进药物发现过程中的命中搜索活动。该工作流程利用三维(3D)生成建模方法 Pocket2Mol,从空间角度为目标蛋白质结构从头设计分子,然后进行化学物理性质和药物相似性过滤、结构-活性关系分析和聚类,以生成顶级虚拟命中支架。在我们的 WDR5 案例研究中,我们根据虚拟支架在诺华归档库中进行了有针对性的搜索,然后获得了 2029 种重点化合物。随后,我们对这些化合物进行了实验分析,得出了在生化和生物物理实验中显示出活性的新型化学支架系列。Pocket Crafter 成功地为探索新的化学支架构建了一个有效的端到端基于三维生成化学的工作流程原型,它代表了一种在早期药物发现中很有前途的方法。
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Pocket Crafter: a 3D generative modeling based workflow for the rapid generation of hit molecules in drug discovery

We present a user-friendly molecular generative pipeline called Pocket Crafter, specifically designed to facilitate hit finding activity in the drug discovery process. This workflow utilized a three-dimensional (3D) generative modeling method Pocket2Mol, for the de novo design of molecules in spatial perspective for the targeted protein structures, followed by filters for chemical-physical properties and drug-likeness, structure–activity relationship analysis, and clustering to generate top virtual hit scaffolds. In our WDR5 case study, we acquired a focused set of 2029 compounds after a targeted searching within Novartis archived library based on the virtual scaffolds. Subsequently, we experimentally profiled these compounds, resulting in a novel chemical scaffold series that demonstrated activity in biochemical and biophysical assays. Pocket Crafter successfully prototyped an effective end-to-end 3D generative chemistry-based workflow for the exploration of new chemical scaffolds, which represents a promising approach in early drug discovery for hit identification.

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来源期刊
Journal of Cheminformatics
Journal of Cheminformatics CHEMISTRY, MULTIDISCIPLINARY-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
14.10
自引率
7.00%
发文量
82
审稿时长
3 months
期刊介绍: Journal of Cheminformatics is an open access journal publishing original peer-reviewed research in all aspects of cheminformatics and molecular modelling. Coverage includes, but is not limited to: chemical information systems, software and databases, and molecular modelling, chemical structure representations and their use in structure, substructure, and similarity searching of chemical substance and chemical reaction databases, computer and molecular graphics, computer-aided molecular design, expert systems, QSAR, and data mining techniques.
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