Evidence map›Paper›PMID 38283231›Full record

ArticleRSC medicinal chemistry2024

Discovery of new dibenzodiazepine derivatives as antibacterials against intracellular bacteria.

Ling-Han Chen, Man-Yi Lin, Hsueh-Chun Lin, Fan-Wei Yang, Hsiao-Wei Liao, Chung-Wai Shiau, Hao-Chieh Chiu, Jung-Chen Su

Abstract read
In one paragraph

Article in RSC medicinal chemistry, 2024. 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
–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

1 citing paper in PubMed.

  1. 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

8 authors.

Ling-Han ChenDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University Taipei 10048 Taiwan hcchiu@ntu.edu.tw (+886) 22371-1574 (+886) 22312-3456 ext 66902.ORCID https://orcid.org/0009-0001-6022-2591
Man-Yi LinInstitute of Biopharmaceutical Sciences, National Yang Ming Chiao Tung University Taipei 11221 Taiwan.ORCID https://orcid.org/0000-0001-8127-6196
Hsueh-Chun LinDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University Taipei 10048 Taiwan hcchiu@ntu.edu.tw (+886) 22371-1574 (+886) 22312-3456 ext 66902.
Fan-Wei YangDepartment of Pharmacy, National Yang Ming Chiao Tung University Taipei 11221 Taiwan jcsu@nycu.edu.tw (+886) 22826-7000 ext 66401.
Hsiao-Wei LiaoDepartment of Pharmacy, National Yang Ming Chiao Tung University Taipei 11221 Taiwan jcsu@nycu.edu.tw (+886) 22826-7000 ext 66401.ORCID https://orcid.org/0000-0003-1760-9536
Chung-Wai ShiauInstitute of Biopharmaceutical Sciences, National Yang Ming Chiao Tung University Taipei 11221 Taiwan.
Hao-Chieh ChiuDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University Taipei 10048 Taiwan hcchiu@ntu.edu.tw (+886) 22371-1574 (+886) 22312-3456 ext 66902.ORCID https://orcid.org/0000-0002-8800-8474
Jung-Chen SuDepartment of Pharmacy, National Yang Ming Chiao Tung University Taipei 11221 Taiwan jcsu@nycu.edu.tw (+886) 22826-7000 ext 66401.ORCID https://orcid.org/0000-0002-8005-0897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence and spread of multidrug-resistant bacteria underscore the critical need for novel antibacterial interventions. In our screening of 12 synthesized thienobenzodiazepines, pyridobenzodiazepines, and dibenzodiazepines, we successfully identified a small molecule compound SW33. Notably, SW33 demonstrated potent inhibitory activity against intracellular multidrug-resistant and fluoroquinolone-resistant strains of

Identifiers

PMID38283231
PMCPMC10809566

What OpenQuestion holds

Textmetadata
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.