Evidence map›Paper›PMID 37575356›Full record

ArticleSynthetic and systems biotechnology2023

Targeted genome mining for microbial antitumor agents acting through DNA intercalation.

Zhijie Zhao, Guiyun Zhao, Yi Chai, Wei Li, Kaihui Song, Wenbin Zhao, Hairong Li, Miaolian Wu, Zhan Zhou, Yi-Ling Du

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Synthetic and systems biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 33% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 2 countries.

Zhijie ZhaoThe Fourth Affiliated Hospital and Department of Microbiology, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Guiyun ZhaoThe Fourth Affiliated Hospital and Department of Microbiology, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Yi ChaiYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Wei LiThe Fourth Affiliated Hospital and Department of Microbiology, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Kaihui SongThe Fourth Affiliated Hospital and Department of Microbiology, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Wenbin ZhaoInnovation Institute for Artificial Intelligence in Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
Hairong LiInnovation Institute for Artificial Intelligence in Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
Miaolian WuThe Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, 322000, China.
Zhan ZhouInnovation Institute for Artificial Intelligence in Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
Yi-Ling DuThe Fourth Affiliated Hospital and Department of Microbiology, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Zhejiang University · CNZhejiang Lab · CNNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial natural products have been one of the most important sources for drug development. In the current postgenomic era, sequence-driven approaches for natural product discovery are becoming increasingly popular. Here, we develop an effective genome mining strategy for the targeted discovery of microbial metabolites with antitumor activities. Our method employs

Indexed as

Biosynthetic gene clustersDNA intercalatorGenome miningMicrobial natural productTetracyclineUvrA-like protein

Identifiers

PMID37575356
PMCPMC10413001
OpenAlexW4385076283

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.