Evidence map›Paper›PMID 37206196›Full record

ArticleFrontiers in chemistry2023

Sadaqat Ali, Asifa Noreen, Adeem Qamar, Imran Zafar, Quratul Ain, Hiba-Allah Nafidi, Yousef A Bin Jardan, Mohammed Bourhia, Summya Rashid, Rohit Sharma

Open access · goldAbstract read
In one paragraph

Article in Frontiers in chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Heliyon · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Frontiers in chemistry · 2023
    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

10 authors at 7 institutions in 5 countries.

Sadaqat AliMedical Department, DHQ Hospital Bhawalnagr, Punjab, Pakistan.
Asifa NoreenDepartment of Chemistry, Rippha International University, Faisalabad, Pakistan.
Adeem QamarDepartment of Pathology, Sahiwal Medical College Sahiwal, Punjab, Pakistan.
Imran ZafarDepartment of Bioinformatics and Computational Biology, Virtual University of Pakistan, Punjab, Pakistan.
Quratul AinDepartment of Chemistry, Government College Women University, Faisalabad, Pakistan.
Hiba-Allah NafidiDepartment of Food Science, Faculty of Agricultural and Food Sciences, Laval University, Quebec City, QC, Canada.
Yousef A Bin JardanDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Mohammed BourhiaLaboratory of Chemistry and Biochemistry, Faculty of Medicine and Pharmacy, Ibn Zohr University, Laayoune, Morocco.
Summya RashidDepartment of Bioinformatics and Computational Biology, Virtual University of Pakistan, Punjab, Pakistan.
Rohit SharmaDepartment of Rasa Shastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Virtual University of Pakistan · PKGovernment College Women University Faisalabad · PKInstitute of Medical Sciences · INKing Saud University · SARiphah International University · PKUniversité Ibn Zohr · MAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a primary global health concern, and researchers seek innovative approaches to combat the disease. Clinical bioinformatics and high-throughput proteomics technologies provide powerful tools to explore cancer biology. Medicinal plants are considered effective therapeutic agents, and computer-aided drug design (CAAD) is used to identify novel drug candidates from plant extracts. The tumour suppressor protein TP53 is an attractive target for drug development, given its crucial role in cancer pathogenesis. This study used a dried extract of

Indexed as

Amomum subulatumanti-cancer compoundsbioinformaticscancerhigh-throughput techniquespharmacophore modelingTP53

Identifiers

PMID37206196
PMCPMC10189520
OpenAlexW4367054396

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.