Work

DockEM: an enhanced method for atomic-scale protein–ligand docking refinement leveraging low-to-medium resolution cryo-EM density maps

Year: 2025

Type: article

Abstract: 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.

Source: Briefings in Bioinformatics

DOI: 10.1093/bib/bbaf091

Authors: Jing Zou, Wenyi Zhang, Jun Hu, Xiaogen Zhou, Biao Zhang

Institutions: Zhejiang University of Technology, Westlake University, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou Institute of Systems Medicine

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,885

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China