Evidence map›Paper›PMID 31453132›Full record

ArticleJournal of traditional and complementary medicine2019

Insights on the molecular mechanism of anti-inflammatory effect of formula from Islamic traditional medicine: An in-silico study.

Abdullah A Elgazar, Hamada Ramadan Knany, Mohammed Soliman Ali

Abstract read
In one paragraph

Article in Journal of traditional and complementary medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Design, Synthesis, Pharmacological Evaluation of Quinazolin-4(3Drug design, development and therapy · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Chemical constituents from coconut waste and theirSouth African journal of botany : official journal of the South African Association of Botanists = Suid-Afrikaanse tydskrif vir plantkunde : amptelike tydskrif van die Suid-Afrikaanse Genootskap van Plantkundiges · 2021
    Article
  12. Article
  13. 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

3 authors.

Abdullah A ElgazarDepartment of Pharmacognosy, Faculty of Pharmacy, Kafrelsheikh University, Egypt.
Hamada Ramadan KnanyDepartment of Pharmacognosy, Faculty of Pharmacy, Kafrelsheikh University, Egypt.
Mohammed Soliman AliDepartment of Pharmacognosy, Faculty of Pharmacy, Kafrelsheikh University, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimTraditional medicine is an important source for drug discovery. However, many challenges face the scientific community to develop novel drugs from it. To investigate the rationale behind the medical legacy of centuries of precious knowledge from traditional medicine, we aimed at performing virtual screening to identify potential leads from the middle-age textbook, The Canon of Medicine. EXPERIMENTAL PROCEDURE: A database of chemical constituents of plants mentioned within the book was built and docked against different molecular targets associated with inflammation such as phospholipase A2, p38 alpha mitogen activated protein kinase, cyclooxygenase-2 and leukotriene B4 dehydrogenase, after that literature survey was done to determine the consistency of traditional uses and molecular docking results with the current knowledge obtained from previous studies and reports. RESULTS AND

conclusionThe

Indexed as

Anti-inflammatoryAvicennaTraditional medicineVirtual screening and drug discovery

Identifiers

PMID31453132
PMCPMC6702150

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.