Evidence map›Paper›PMID 35035508›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer.

Arpita Roy, Ashutosh Anand, Saksham Garg, Mohd Shahnawaz Khan, Sidharth Bhasin, Muhammad Nadeem Asghar, Talha Bin Emran

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. 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
4.6field-weighted citation impact, top 6% 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, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Molecules (Basel, Switzerland) · 2023
    Article
  7. Review
  8. Article
  9. Apoptosis-mediated anti-proliferative activity ofFrontiers in cell and developmental biology · 2022
    Article
  10. Identification of Potential Poly (ADP-Ribose) Polymerase-1 Inhibitors Derived fromEvidence-based complementary and alternative medicine : eCAM · 2022
    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

7 authors at 6 institutions in 4 countries.

Arpita RoyDepartment of Biotechnology, School of Engineering & Technology, Sharda University, Greater Noida, India.ORCID https://orcid.org/0000-0002-1928-3093
Ashutosh AnandDelhi Technological University, Rohini, New Delhi, India.
Saksham GargDelhi Technological University, Rohini, New Delhi, India.ORCID https://orcid.org/0000-0001-9873-1095
Mohd Shahnawaz KhanDepartment of Biochemistry, College of Sciences, King Saud University, Riyadh, Saudi Arabia.
Sidharth BhasinIndian Institute of Technology Delhi, Delhi, India.ORCID https://orcid.org/0000-0002-4536-1649
Muhammad Nadeem AsgharDepartment of Medical Biology, University of Québec at Trois-Rivieres, Trois-Rivieres, Québec G9A 5H7, Canada.
Talha Bin EmranDepartment of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh.ORCID https://orcid.org/0000-0003-3188-2272
Delhi Technological University · INBGC Trust University Bangladesh · BDIndian Institute of Technology Delhi · INKing Saud University · SASharda University · INUniversité du Québec à Trois-Rivières · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is recognized as one of the main causes of mortality worldwide by the World Health Organization. The high cost of currently available cancer therapy and certain limitations of current treatment make it necessary to search for novel, cost-effective, and efficient methods of cancer treatment. Therefore, in the current investigation, sixty-two compounds from five medicinal plants (

Identifiers

PMID35035508
PMCPMC8758269
OpenAlexW4205944653

What OpenQuestion holds

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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.