Evidence map›Paper›PMID 39431081›Full record

ArticleACS omega2024

Small Molecule Compound DHPA Screened by Computer-Aided Drug Design and Molecular Dynamics Simulation Inhibits Neuroblastoma Cell Proliferation by Targeting TrkB.

Tianyi Liu, Hongli Yin, Qingyang Hu, Xue Dong, Bin Xin, Yue Wu, Xuejiao Hu, Wenxin Yan, Zhong Li

Abstract read
In one paragraph

Article in ACS omega, 2024. 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
–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

2 citing papers in PubMed.

  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

9 authors.

Tianyi LiuDepartment of Pharmacy, Dalian Women and Children's Medical Group, Dalian, Liaoning 116012, China.
Hongli YinInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou 215025, China.
Qingyang HuCollege of Pharmacy, Dalian Medical University, Dalian, Liaoning 116044, China.
Xue DongCollege of Pharmacy, Dalian Medical University, Dalian, Liaoning 116044, China.
Bin XinCollege of Pharmacy, Dalian Medical University, Dalian, Liaoning 116044, China.
Yue WuCollege of Pharmacy, Dalian Medical University, Dalian, Liaoning 116044, China.
Xuejiao HuCollege of Pharmacy, Dalian Medical University, Dalian, Liaoning 116044, China.
Wenxin YanCollege of Pharmacy, Dalian Medical University, Dalian, Liaoning 116044, China.
Zhong LiDepartment of Pharmacy, Dalian Women and Children's Medical Group, Dalian, Liaoning 116012, China.ORCID https://orcid.org/0000-0002-5957-8486

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroblastoma (NB) is a rare and malignant pediatric solid tumor. Due to its heterogeneity, it poses significant challenges for treatment, resulting in a high mortality rate. This study aimed to identify new therapeutic drugs by modeling the TrkB receptor from PDB 4AT5 and conducting virtual screening of compounds from the YaTCM database (containing 47,696 compounds derived from 6220 Traditional Chinese Medicines). The screening utilized the E-pharmacophore approach to select compounds with potential binding affinity to TrkB. The binding abilities of these compounds were tested through molecular dynamics simulations, stretch dynamics simulations, and US simulations. Among the top 11 optimized hit compounds, DHPA and 3″-demethylhexahydrocurcumin are prominent. Further simulations reveal that they form stable receptor-ligand binary complexes with TrkB. In subsequent in vitro cell experiments, 3″-demethylhexahydrocurcumin is eliminated due to its high IC

Identifiers

PMID39431081
PMCPMC11483404

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.