DockEM: an enhanced method for atomic-scale protein–ligand docking refinement leveraging low-to-medium resolution cryo-EM density maps
Protein-ligand docking plays a pivotal role in virtual drug screening, and recent advancements in cryo-electron microscopy (cryo-EM) technology have significantly accelerated the progress of structure-based drug discovery. However, the majority of cryo-EM density maps are of medium to low resolution (3-10 Å), which presents challenges in effectively integrating cryo-EM data into molecular docking workflows. In this study, we present an updated protein-ligand docking method, DockEM, which leverages local cryo-EM density maps and physical energy refinement to precisely dock ligands into specific protein binding sites. Tested on a dataset of 121 protein-ligand compound, our results demonstrate that DockEM outperforms other advanced docking methods. The strength of DockEM lies in its ability to incorporate cryo-EM density map information, effectively leveraging the structural information of ligands embedded within these maps. This advancement enhances the use of cryo-EM density maps in virtual drug screening, offering a more reliable framework for drug discovery.
Authors
- Xiaogen Zhou (ORCID: https://orcid.org/0000-0001-6839-1923)
- Jing Zou (ORCID: https://orcid.org/0000-0002-4333-935X)
- Jun Hu (ORCID: https://orcid.org/0009-0007-1662-858X)
- Wenyi Zhang (ORCID: https://orcid.org/0000-0003-4227-0749)
- Biao Zhang (ORCID: https://orcid.org/0000-0002-0128-6149)
Institutions
- Academy of Medical Sciences (GB)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Westlake University (CN)
- Suzhou Institute of Systems Medicine (CN)
- Zhejiang University of Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Briefings in Bioinformatics
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1093/bib/bbaf091
- Citations
- 3
- Primary Topic
- Advanced Electron Microscopy Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 7.65
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China