Evidence map›Paper›PMID 35685913›Full record

ReviewRSC advances2020

Nature as a treasure trove of potential anti-SARS-CoV drug leads: a structural/mechanistic rationale.

Ahmed M Sayed, Amira R Khattab, Asmaa M AboulMagd, Hossam M Hassan, Mostafa E Rateb, Hala Zaid, Usama Ramadan Abdelmohsen

Abstract readReview
In one paragraph

Review in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. The Potential of Natural Products in the Management of COVID-19.Advances in experimental medicine and biology · 2024
    Review
  8. Article
  9. Article
  10. Autochthonous Peruvian Natural Plants as Potential SARS-CoV-2 MPharmaceuticals (Basel, Switzerland) · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Journal of biomolecular structure & dynamics · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Future virology · 2022
    Article
  20. 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.

Ahmed M SayedDepartment of Pharmacognosy, Faculty of Pharmacy, Nahda University 62513 Beni-Suef Egypt.
Amira R KhattabPharmacognosy Department, College of Pharmacy, Arab Academy for Science, Technology and Maritime Transport 1029 Alexandria Egypt.
Asmaa M AboulMagdPharmaceutical Chemistry Department, Faculty of Pharmacy, Nahda University 62513 Beni Suef Egypt.ORCID https://orcid.org/0000-0003-4243-9401
Hossam M HassanDepartment of Pharmacognosy, Faculty of Pharmacy, Beni-Suef University 62514 Beni-Suef Egypt.ORCID https://orcid.org/0000-0003-0174-4434
Mostafa E RatebSchool of Computing, Engineering & Physical Sciences, University of the West of Scotland Paisley PA1 2BE UK.
Hala ZaidMinistry of Health and Population Cairo Egypt.
Usama Ramadan AbdelmohsenDepartment of Pharmacognosy, Faculty of Pharmacy, Minia University 61519 Minia Egypt usama.ramadan@mu.edu.eg +2-86-2347759.ORCID https://orcid.org/0000-0002-1014-6922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 is a potential factor for fatal illness and a tremendous concern for global public health. The COVID-19 pandemic has entered a dangerous new phase. In the context of drug discovery, the structurally-unique and chemically-diverse natural products have been valuable sources for drug leads. In this review, we report for potential candidates derived from natural sources with well-reported

Identifiers

PMID35685913
PMCPMC9122629

What OpenQuestion holds

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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.