Evidence map›Paper›PMID 38393049›Full record

ArticleMarine drugs2024

Brominated Depsidones with Antibacterial Effects from a Deep-Sea-Derived Fungus

Zequan Huang, Dong Liu, Shang Chen, Jinwei Ren, Chenghai Gao, Zhiyong Li, Aili Fan, Wenhan Lin

Abstract read
In one paragraph

Article in Marine drugs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Marine natural products.Natural product reports · 2026
    Review
  3. Advances in the Study of Halogenated Natural Products.Current topics in medicinal chemistry · 2025
    Review
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

8 authors.

Zequan HuangState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Dong LiuState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Shang ChenState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.ORCID 0000-0002-4874-2922
Jinwei RenState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Chenghai GaoInstitute of Marine Drugs, Guangxi University of Chinese Medicine, Nanning 530200, China.ORCID 0000-0002-7524-8049
Zhiyong LiState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0001-9469-8857
Aili FanState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.ORCID 0000-0003-4738-0517
Wenhan LinState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.ORCID 0000-0002-4978-4083

Funding

China Ocean Mineral Resource R&D Association DY135-B-05National Natural Science Foundation of China 81991525, 82173733Open Funding Project of State Key Laboratory of Microbial Metabolism MMLKF22-02the National Key Research and Development Project 2022YFC2804500the Ningbo Key Science and Technology Development Program 2022Z144, 2021Z046
6 · The paper itself

Abstract

Eleven new brominated depsidones, namely spiromastixones U-Z5 (

Indexed as

DepsidesMethicillin-Resistant Staphylococcus aureusAnti-Bacterial AgentsFungiLactonesMicrobial Sensitivity TestsAnti-Bacterial AgentsDepsidesdepsidoneLactonesantibacterial effectsbrominated depsidonefungusSpiromastix sp.

Identifiers

PMID38393049
PMCPMC10890614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.