Evidence map›Paper›PMID 31403045›Full record

ArticleFrontiers in chemistry2019

Design and Optimization of Thioglycosyl-naphthalimides as Efficient Inhibitors Against Human O-GlcNAcase.

Shengqiang Shen, Lili Dong, Wei Chen, Renjie Wu, Huizhe Lu, Qing Yang, Jianjun Zhang

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

Article in Frontiers in chemistry, 2019. 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
0.1field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Shengqiang ShenDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, China.
Lili DongDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, China.
Wei ChenInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Renjie WuDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, China.
Huizhe LuDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, China.
Qing YangInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Jianjun ZhangDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, China.
China Agricultural University · CNChinese Academy of Agricultural Sciences · CNInstitute of Plant Protection · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

β-N-acetylhexosaminidases represent an important class of exoglycosidases and have emerged as the promising targets for drug and pesticide discovery. Among these, human O-GlcNAcase (hOGA) has been reported to be closely linked to several diseases such as Alzheimer's disease, diabetes, and cancer. Potent hOGA inhibitors with high selectivity are therefore of great significance for the regulation of the corresponding physiological processes. In this study, several classes of novel and readily available thioglycosyl-naphthalimides bearing the amide linker were designed and synthesized. To investigate their potency and selectivity, the inhibitory efficiencies toward hOGA and human β-N-acetylhexosaminidase B (HsHexB) were assayed. Especially, compounds

Indexed as

human O-GlcNAcaseinhibitorsmolecular docking and MD simulationsthioglycosyl-naphthalimidesureido glycosidesβ-N-acetylhexosaminidases

Identifiers

PMID31403045
PMCPMC6669961
OpenAlexW2958874699

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.