Evidence map›Paper›PMID 34285555›Full record

ArticleInternational journal of general medicine2021

AURKB, CHEK1 and NEK2 as the Potential Target Proteins of

Chaoyuan Huang, Hu Luo, Yuancheng Huang, Chongkai Fang, Lina Zhao, Peiwu Li, Chong Zhong, Fengbin Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
10.2field-weighted citation impact, top 1% 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

8 citing papers in PubMed, 58 citations in OpenAlex.

  1. Polyporusterone E, a Key Component ofInternational journal of molecular sciences · 2026
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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 at 2 institutions in 1 country.

Chaoyuan HuangThe First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.ORCID 0000-0002-2227-7276
Hu LuoThe First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Yuancheng HuangThe First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.ORCID 0000-0003-1865-7329
Chongkai FangThe First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Lina ZhaoDepartment of gastroenterology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Peiwu LiDepartment of gastroenterology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Chong ZhongDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.ORCID 0000-0003-4199-0509
Fengbin LiuDepartment of gastroenterology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.ORCID 0000-0001-5367-0401
First Affiliated Hospital of Guangzhou University of Chinese Medicine · CNGuangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aim to explore the potential anti-HCC mechanism of

methodsWe searched active ingredients and related targets of

resultsSixteen active components from

conclusionAURKB, CHEK1 and NEK2 could be the potential target proteins of

Indexed as

bioinformatics analysiseffector mechanismhepatocellular carcinomamolecular dockingnetwork pharmacologyScutellaria barbata

Identifiers

PMID34285555
PMCPMC8285231
OpenAlexW3179995772

What OpenQuestion holds

Textmetadata
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.