Evidence map›Paper›PMID 40289662›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

TCMD: A High-Throughput and Rapid Method for Screening Antimicrobial Ingredients from Renewable Bio-Based Resources.

Yongdong Xu, Yueyao Wang, Yongming Chen, Yunxia Wang, Shicheng Zhang, Gang Luo, Fuhao Cui, Taisheng Du, Zhidan Liu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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. 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

9 authors.

Yongdong XuLaboratory of Environment-Enhancing Energy (E2E), Key Laboratory of Agricultural Engineering in Structure and Environment of Ministry of Agriculture and Rural Affairs, College of Water Resources and Civil Engineering, China Agricultural University, Beijing, 100083, China.ORCID https://orcid.org/0000-0002-2511-3787
Yueyao WangLaboratory of Environment-Enhancing Energy (E2E), Key Laboratory of Agricultural Engineering in Structure and Environment of Ministry of Agriculture and Rural Affairs, College of Water Resources and Civil Engineering, China Agricultural University, Beijing, 100083, China.
Yongming ChenNational Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, 261325, China.
Yunxia WangCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
Shicheng ZhangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China.
Gang LuoShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China.
Fuhao CuiDepartment of Plant Pathology and the Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing, 100193, China.
Taisheng DuCenter for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China.
Zhidan LiuLaboratory of Environment-Enhancing Energy (E2E), Key Laboratory of Agricultural Engineering in Structure and Environment of Ministry of Agriculture and Rural Affairs, College of Water Resources and Civil Engineering, China Agricultural University, Beijing, 100083, China.ORCID https://orcid.org/0000-0002-4411-7644

Funding

2115 Talent Development Program of China Agricultural UniversityNational Key Research and Development Program of China 2024YFC3909104National Natural Science Foundation of China 52261145701National Natural Science Foundation of China U21A20162
6 · The paper itself

Abstract

Antibiotic resistance and pathogenic infections underscore the importance and urgency of novel control agent development. Bio-based products represent a rich reservoir of antimicrobial agents. However, traditional strategies for screening new active compounds are time-consuming, costly, and limited by accessible resources. Here, transcriptomic combinatorial molecular docking (TCMD), a novel method enabling fast identification of antimicrobial components in complex mixtures without requiring prior knowledge is proposed. Results show that, in eukaryotic microorganism systems, TCMD demonstrates superior performances in screening antifungal compounds within hydrothermal liquefaction aqueous. The high accuracy is confirmed by molecular dynamics simulation, antifungal experiments, and RT-qPCR (reverse transcription real-time quantitative polymerase chain reaction) analysis. Furthermore, TCMD exhibits cross-system applicability, as evidenced by successful antibacterial substances screening in prokaryotic systems using plant essential oil and traditional Chinese medicine from previous studies. Compared to conventional approaches, TCMD is estimated to be 3-20 times faster and ≈10 times more cost-effective, while maintaining high-throughput capacity for analyzing thousands of compounds simultaneously. These demonstrate that TCMD is a rapid, precise, and flexible method for antimicrobial compound discovery, significantly accelerating the development of new antibacterial agents.

Indexed as

Anti-Infective AgentsHigh-Throughput Screening AssaysMolecular Docking SimulationAnti-Bacterial AgentsAnti-Bacterial AgentsAnti-Infective Agentsantibiotic liquidsantimicrobial compound identificationbiomasshigh throughoutvirtual screening

Identifiers

PMID40289662
PMCPMC12279177

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.