Evidence map›Paper›PMID 39615486›Full record

ArticleCell reports. Medicine2024

Structure-guided development of selective caseinolytic protease P agonists as antistaphylococcal agents.

Tao Zhang, Pengyu Wang, Hailing Zhou, Bingyan Wei, Yanling Zhao, Jiahui Li, Min Zhang, Wenjuan Wu, Lefu Lan, Jianhua Gan and 1 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Polydatin as a natural ClpP modulator for combating methicillin-resistantFrontiers in cellular and infection microbiology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Tao ZhangState Key Laboratory of Drug Research, Centre for Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Pengyu WangSchool of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Hailing ZhouState Key Laboratory of Drug Research, Centre for Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Bingyan WeiSchool of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Yanling ZhaoSchool of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Jiahui LiState Key Laboratory of Drug Research, Centre for Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Min ZhangDepartment of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200123, China.
Wenjuan WuDepartment of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200123, China.
Lefu LanSchool of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Jianhua GanSchool of Life Sciences, Fudan University, Shanghai 200433, China.
Cai-Guang YangState Key Laboratory of Drug Research, Centre for Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China; University of Chinese Academy of Sciences, Beijing 100049, China; School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing 210023, China; Shandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai 264117, China. Electronic address: yangcg@simm.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methicillin-resistant Staphylococcus aureus is a ubiquitous pathogen, posing a serious threat to human health worldwide. Thus, there is a high demand for antibiotics with distinct targets. Caseinolytic protease P (ClpP) is a promising target for combating staphylococcal infections; however, selectively activating S. aureus ClpP (SaClpP) rather than Homo sapiens ClpP (HsClpP) remains challenging. Herein, we rationally design and identify ZG297 by structure-based strategy. It binds and activates SaClpP instead of HsClpP. This is due to differentiated ligand binding attributed to crossed "tyrosine/histidine" amino acid pairs. ZG297 substantially inhibits the growth of a broad panel of S. aureus strains in vitro, outperforming the selective (R)-ZG197 agonist. ZG297 also functions as a potent antibiotic against multidrug-resistant S. aureus infections in Galleria mellonella larvae, zebrafish, murine skin, and thigh infection models. Collectively, we demonstrate that ZG297 is a safer and more potent antistaphylococcal agent than acyldepsipeptide 4 and (R)-ZG197.

Indexed as

Anti-Bacterial AgentsEndopeptidase ClpStaphylococcal InfectionsZebrafishAnimalsBacterial ProteinsHumansMethicillin-Resistant Staphylococcus aureusMiceMicrobial Sensitivity TestsMothsStaphylococcus aureusStructure-Activity RelationshipAnti-Bacterial AgentsBacterial ProteinsEndopeptidase Clpantibioticantistaphylococcal agentscaseinolytic protease PClpPmethicillin-resistant Staphylococcus aureusMRSAmurine skin infection modelmurine thigh infection modelselective agoniststructure guided designtyrosine/histidine pairsZG297

Identifiers

PMID39615486
PMCPMC11722091

What OpenQuestion holds

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Registered trials

None linked

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.