Evidence map›Paper›PMID 38250382›Full record

ArticleACS omega2024

Exploring

Mehreen Zia, Shagufta Parveen, Nusrat Shafiq, Maryam Rashid, Ariba Farooq, Musaab Dauelbait, Muhammad Shahab, Ahmad Mohammad Salamatullah, Simone Brogi, Mohammed Bourhia

Open access · goldAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Natural Compounds fromMedicinal chemistry (Shariqah (United Arab Emirates)) · 2025
    Article
  9. Article
  10. Article
  11. Anticancer and Antioxidant Properties ofBioMed research international · 2024
    Article
  12. 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 6 countries.

Mehreen ZiaSynthetic and Natural Products Discovery (SNPD) Laboratory, Department of Chemistry, Government College Women University, Faisalabad 38000, Pakistan.
Shagufta ParveenSynthetic and Natural Products Discovery (SNPD) Laboratory, Department of Chemistry, Government College Women University, Faisalabad 38000, Pakistan.
Nusrat ShafiqSynthetic and Natural Products Discovery (SNPD) Laboratory, Department of Chemistry, Government College Women University, Faisalabad 38000, Pakistan.ORCID https://orcid.org/0000-0002-3270-4227
Maryam RashidSynthetic and Natural Products Discovery (SNPD) Laboratory, Department of Chemistry, Government College Women University, Faisalabad 38000, Pakistan.
Ariba FarooqDepartment of Chemistry, University of Lahore, Lahore 54000, Pakistan.
Musaab DauelbaitDepartment of Scientific Translation, Faculty of Translation, University of Bahri, Khartoum 11111, Sudan.ORCID https://orcid.org/0009-0003-0685-8243
Muhammad ShahabState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, P. R. China.
Ahmad Mohammad SalamatullahDepartment of Food Science & Nutrition, College of Food and Agricultural Sciences, King Saud University, 11 P.O. Box 2460, Riyadh 11451, Saudi Arabia.
Simone BrogiDepartment of Pharmacy, Pisa University, Pisa 56124, Italy.ORCID https://orcid.org/0000-0001-9375-6242
Mohammed BourhiaDepartment of Chemistry and Biochemistry, Faculty of Medicine and Pharmacy, Ibn Zohr University, Laayoune 70000, Morocco.
Government College Women University Faisalabad · PKBeijing University of Chemical Technology · CNKing Saud University · SAUniversité Ibn Zohr · MAUniversity of Bahri · SDUniversity of Lahore · PKUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStructure-activity relationship (SAR) is considered to be an effective in silico approach when discovering potential antagonists for breast cancer due to gene mutation. Major challenges are faced by conventional SAR in predicting novel antagonists due to the discovery of diverse antagonistic compounds. Methodologyand Results: In predicting breast cancer antagonists, a multistep screening of phytochemicals isolated from the seeds of the

conclusionsThis multistep screening of phytochemicals revealed high-reliability antagonists of breast cancer by 3D-QSAR using flare, docking analysis, and DFT studies. The present study helps in providing a proper guideline for the development of novel inhibitors of BRCA1 and BRCA2.

Identifiers

PMID38250382
PMCPMC10795055
OpenAlexW4390535999

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.