Evidence map›Paper›PMID 40062618›Full record

ArticleBriefings in bioinformatics2025

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

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

Abstract read
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Article in Briefings in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jing ZouCollege of Information Engineering, Zhejiang University of Technology, 288 Liuhe Road, Liuxia Street, Xihu District, Hangzhou 310023, China.
Wenyi ZhangWestlake AI Therapeutics Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China.
Jun HuChinese Academy of Medical Sciences Suzhou Institute of Systems Medicine, Suzhou 215123, China.ORCID 0009-0007-1662-858X
Xiaogen ZhouCollege of Information Engineering, Zhejiang University of Technology, 288 Liuhe Road, Liuxia Street, Xihu District, Hangzhou 310023, China.ORCID 0000-0001-6839-1923
Biao ZhangCollege of Information Engineering, Zhejiang University of Technology and Chinese Academy of Medical Sciences, Suzhou Institute of Systems Medicine, Suzhou 215123, China.ORCID 0009-0008-3149-4345

Funding

Chinese Academy of Medical Sciences & Peking Union Medical College, Union Medical College Young Scholar Support Program, Fundamental Research Funds for the Provincial Universities of ZhejiangLeading Innovative and Entrepreneur Team Introduction Program of ZhejiangNational Key R&D Program of ChinaNational Natural Science Foundation of ChinaPostdoctoral Fellowship Program of CPSFYouth Project of Zhejiang Provincial Natural Science Foundation of China
6 · The paper itself

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.

Indexed as

Cryoelectron MicroscopyMolecular Docking SimulationProteinsSoftwareBinding SitesDrug DiscoveryLigandsProtein BindingLigandsProteinscryo-EMdockingprotein–ligandrefinementREMC simulation

Identifiers

PMID40062618
PMCPMC11891657

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.