Evidence map›Paper›PMID 38882500›Full record

ArticleiMeta2024

SIDERITE: Unveiling hidden siderophore diversity in the chemical space through digital exploration.

Ruolin He, Shaohua Gu, Jiazheng Xu, Xuejian Li, Haoran Chen, Zhengying Shao, Fanhao Wang, Jiqi Shao, Wen-Bing Yin, Long Qian and 2 more

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Isolation and Bioactivity of Natural Products fromMolecules (Basel, Switzerland) · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. 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

12 authors.

Ruolin HeCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China.
Shaohua GuCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China.
Jiazheng XuJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Key Lab of Organic-Based Fertilizers of China, Jiangsu Collaborative Innovation Center for Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers Nanjing Agricultural University Nanjing China.
Xuejian LiBeyond Flux Technology Co., Ltd. Beijing China.
Haoran ChenBeyond Flux Technology Co., Ltd. Beijing China.
Zhengying ShaoJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Key Lab of Organic-Based Fertilizers of China, Jiangsu Collaborative Innovation Center for Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers Nanjing Agricultural University Nanjing China.
Fanhao WangCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China.
Jiqi ShaoCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China.
Wen-Bing YinState Key Laboratory of Mycology, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Long QianCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China.
Zhong WeiJiangsu Provincial Key Lab for Solid Organic Waste Utilization, Key Lab of Organic-Based Fertilizers of China, Jiangsu Collaborative Innovation Center for Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers Nanjing Agricultural University Nanjing China.ORCID 0000-0002-7967-4897
Zhiyuan LiCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we introduced a siderophore information database (SIDERTE), a digitized siderophore information database containing 649 unique structures. Leveraging this digitalized data set, we gained a systematic overview of siderophores by their clustering patterns in the chemical space. Building upon this, we developed a functional group-based method for predicting new iron-binding molecules with experimental validation. Expanding our approach to the collection of open natural products (COCONUT) database, we predicted a staggering 3199 siderophore candidates, showcasing remarkable structure diversity that is largely unexplored. Our study provides a valuable resource for accelerating the discovery of novel iron-binding molecules and advancing our understanding of siderophores.

Identifiers

PMID38882500
PMCPMC11170966

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.