Evidence map›Paper›PMID 35523987›Full record

ArticleJournal of molecular modeling2022

Discovery of novel targets and mechanisms of MEK inhibitor Selumetinib for LGG treatment based on molecular docking and molecular dynamics simulation.

Dongdong Zhang, Tieying Zhang, Jianbo Zhu, Jin Li

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Dongdong Zhang *School of Life Sciences, Shihezi University, Xiangyang Street, Xinjiang, China.
Tieying Zhang *School of Life Sciences, Shihezi University, Xiangyang Street, Xinjiang, China.
Jianbo ZhuSchool of Life Sciences, Shihezi University, Xiangyang Street, Xinjiang, China. shzu_zhujianbo@yeah.net.
Jin LiSchool of Life Sciences, Shihezi University, Xiangyang Street, Xinjiang, China. lijin@shzu.edu.cn.ORCID http://orcid.org/0000-0001-7156-9534
Shihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on molecular docking and molecular dynamics simulation, to find a new target and mechanism of MEK inhibitor Selumetinib in the treatment of low-grade glioma (LGG), and to provide theoretical guidance for its clinical medication. All possible targets of Selumetinib were fished through the compound target prediction database. New targets of Selumetinib in the treatment of LGG were found and its mechanism was evaluated employing molecular docking, gene difference analysis, molecular dynamics simulation, and protein subcellular localization prediction. A total of 100 Selumetinib targets and 85 LGG-related targets were screened in this study. There were 7 active targets at the intersection of the two. Through protein interaction (PPI), gene enrichment analysis, and gene difference analysis, one effective target of Selumetinib was finally screened, CDK2 mainly existing in the cytoplasm, endoplasmic reticulum, and plasma membrane; the target plays a role in the treatment of LGG by inhibiting the signal pathways of PI3K Akt and participating in biological processes such as peptide amino acid modification, regulation of intracellular signal transduction, and positive regulation of cell metabolism. CDK2 may be a new direction of Selumetinib in the clinical treatment of LGG.

Indexed as

BenzimidazolesGliomaProtein Kinase InhibitorsHumansMitogen-Activated Protein Kinase KinasesMolecular Docking SimulationMolecular Dynamics SimulationPhosphatidylinositol 3-KinasesAZD 6244BenzimidazolesMitogen-Activated Protein Kinase KinasesPhosphatidylinositol 3-KinasesProtein Kinase InhibitorsCDK2Low-grade gliomaMolecular dockingMolecular dynamics simulationSelumetinib

Identifiers

PMID35523987
OpenAlexW4228999287

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.