Evidence map›Paper›PMID 41798632›Full record

ArticleChemical science2026

Lipid-donor-anchored genome mining uncovers dioxanopeptins, antibacterial lipopeptides with a 1,3-dioxane functionalized polyunsaturated lipid tail.

Ying Chen, Yunsheng Chen, Hao Xiang, Changqi Luo, Jiaqi Duan, Kun Hu, Xiaohong Zheng, Jing Liu, Yongbo Xue, Yi-Ming Shi

Abstract read
In one paragraph

Article in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Ying ChenSchool of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University Shenzhen China xueyb@mail.sysu.edu.cn.
Yunsheng ChenState Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China ym.shi@siat.ac.cn.
Hao XiangState Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China ym.shi@siat.ac.cn.ORCID https://orcid.org/0000-0002-0299-1069
Changqi LuoState Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China ym.shi@siat.ac.cn.
Jiaqi DuanState Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China ym.shi@siat.ac.cn.
Kun HuState Key Laboratory of Phytochemistry and Natural Medicines, Kunming Institute of Botany, Chinese Academy of Sciences Kunming China.
Xiaohong ZhengEquipment Public Service Center, South China Sea Institute of Oceanology Guangzhou China.
Jing LiuDepartment of Natural Products in Organismic Interactions, Max Planck Institute for Terrestrial Microbiology Marburg Germany.ORCID https://orcid.org/0009-0003-7092-2879
Yongbo XueSchool of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University Shenzhen China xueyb@mail.sysu.edu.cn.ORCID https://orcid.org/0000-0001-9133-6439
Yi-Ming ShiState Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China ym.shi@siat.ac.cn.ORCID https://orcid.org/0000-0001-6933-4971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-ribosomal lipopeptide antibiotics derive much of their antibacterial performance from the structure of their lipid tail, yet genome mining remains largely peptide-centric and rarely prioritizes lipid donor formation as an entry point. Herein, we establish a lipid-donor-anchored discovery strategy using

Identifiers

PMID41798632
PMCPMC12964715

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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.