Korb Oliver, Kuhn Bernd, Hert Jérôme, Taylor Neil, Cole Jason, Groom Colin, Stahl Martin
Cambridge Crystallographic Data Centre , 12 Union Road, Cambridge CB2 1EZ, U.K.
Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd. , Grenzacherstrasse 124, CH-4070 Basel, Switzerland.
J Med Chem. 2016 May 12;59(9):4257-66. doi: 10.1021/acs.jmedchem.5b01756. Epub 2016 Jan 8.
We present CSD-CrossMiner, a novel tool for pharmacophore-based searches in crystal structure databases. Intuitive pharmacophore queries describing, among others, protein-ligand interaction patterns, ligand scaffolds, or protein environments can be built and modified interactively. Matching crystal structures are overlaid onto the query and visualized as soon as they are available, enabling the researcher to quickly modify a hypothesis on the fly. We exemplify the utility of the approach by showing applications relevant to real-world drug discovery projects, including the identification of novel fragments for a specific protein environment or scaffold hopping. The ability to concurrently search protein-ligand binding sites extracted from the Protein Data Bank (PDB) and small organic molecules from the Cambridge Structural Database (CSD) using the same pharmacophore query further emphasizes the flexibility of CSD-CrossMiner. We believe that CSD-CrossMiner closes an important gap in mining structural data and will allow users to extract more value from the growing number of available crystal structures.
我们展示了CSD-CrossMiner,这是一种用于在晶体结构数据库中基于药效团进行搜索的新型工具。可以交互式构建和修改直观的药效团查询,这些查询尤其描述了蛋白质-配体相互作用模式、配体支架或蛋白质环境。匹配的晶体结构会叠加到查询上,并在可用时立即可视化,使研究人员能够即时快速修改假设。我们通过展示与实际药物发现项目相关的应用来举例说明该方法的实用性,包括识别特定蛋白质环境的新型片段或骨架跃迁。使用相同的药效团查询同时搜索从蛋白质数据库(PDB)提取的蛋白质-配体结合位点和从剑桥结构数据库(CSD)提取的小分子的能力,进一步强调了CSD-CrossMiner的灵活性。我们相信CSD-CrossMiner填补了挖掘结构数据方面的一个重要空白,并将使用户能够从越来越多的可用晶体结构中提取更多价值。