Evidence map›Paper›PMID 39410943›Full record

ReviewBioinformatics and biology insights2024

Structure, Inhibitors, and Biological Function in Nervous System and Cancer of Ubiquitin-Specific Protease 46.

Khanh Huyen Thi Pham, Manh Hung Tran, Le Ba Nam, Phu Tran Vinh Pham, Tan Khanh Nguyen

Abstract readReview
In one paragraph

Review in Bioinformatics and biology insights, 2024. 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

5 authors.

Khanh Huyen Thi PhamDepartment of Pharmacy, School of Medicine and Pharmacy, The University of Danang, Danang City, Vietnam.ORCID https://orcid.org/0000-0003-3240-2699
Manh Hung TranDepartment of Pharmacy, School of Medicine and Pharmacy, The University of Danang, Danang City, Vietnam.
Le Ba NamFaculty of Pharmacy, Thanh Do University, Hanoi City, Vietnam.
Phu Tran Vinh PhamDepartment of Biomedical Science, VN-UK Institute for Research and Executive Education, The University of Danang, Danang City, Vietnam.ORCID https://orcid.org/0000-0002-4359-4924
Tan Khanh NguyenScientific Management Department, Dong A University, Danang City, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deubiquitinating enzymes (DUBs) prevent ubiquitination by eliminating ubiquitin from their substrates. Deubiquitinating enzymes have important roles in a number of cell biology subfields that are highly relevant to diseases like neurodegeneration, cancer, autoimmune disorders, and long-term inflammation. Deubiquitinating enzymes feature a well-defined active site and, for the most part, catalytic cysteine, which makes them appealing targets for small-molecule drug development. Ubiquitin-specific protease 46 (USP46) is a member of the ubiquitin-specific protease family, the largest subfamily of DUBs. Over the past 10 years, some studies have steadily demonstrated the significance of USP46 in several biological processes, although it was identified later and early research progress was modest. Specifically, in the last few years, the carcinogenic properties of USP46 have become more apparent. In the current review, we provide a comprehensive overview of the current knowledge about USP46 including its characteristics, structure, inhibitors, function in diseases, especially in the nervous system, and the correlation of USP46 with cancers.

Indexed as

cancerdeubiquitinating enzymesinhibitornervous systemUbiquitin-specific protease 46

Identifiers

PMID39410943
PMCPMC11475357

What OpenQuestion holds

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LicenceCC BY-NC
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.