Evidence mapPaperPMID 37446909Full record

ArticleMolecules (Basel, Switzerland)2023

The Prediction of Antioxidant Q-Markers for

Hui Gao, Qian Li

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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
1.6field-weighted citation impact, top 15% 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, 4 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

2 authors at 1 institution in 1 country.

Hui GaoState Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China.
Qian LiState Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0001-5806-6609
Gansu Agricultural University · CN

Funding

Gansu Province university teachers innovation fund project 2023A-53Longyuan youth innovation and entrepreneurship talent project 2023-1National Natural Science Foundation of China 31860102
6 · The paper itself

Abstract

objectiveTo clarify the accumulation and mutual transformation patterns of the chemical components in

methodThe types of and content changes in the chemical components in various parts of

resultThe differences in the content changes in the coumarin compounds in different parts were found by using GC-MS technology, with the relative content being the best in the root, followed by the leaves, and the least in the stems. The common components were used as potential Q-Markers for a network pharmacology analysis. The component-target-pathway-disease network was constructed. In the molecular docking, the Q-Markers had a good binding ability with the core target, reflecting better biological activity.

conclusionsThe accumulation and mutual transformation patterns of the chemical components in different parts of

Indexed as

AngelicaDrugs, Chinese HerbalAntioxidantsGas Chromatography-Mass SpectrometryMolecular Docking SimulationNetwork PharmacologyAntioxidantsDrugs, Chinese HerbalAngelica dahuricaantioxidantGC-MSnetwork pharmacologyQ-Markers

Identifiers

PMID37446909
PMCPMC10343566
OpenAlexW4383549956

What Socratic 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 Socratic graph.