Evidence map›Paper›PMID 35089586›Full record

ReviewJournal of microbiology (Seoul, Korea)2022

Coronavirus enzyme inhibitors-experimentally proven natural compounds from plants.

Junsoo Park, Rackhyun Park, Minsu Jang, Yea-In Park, Yeonjeong Park

Abstract readReview
In one paragraph

Review in Journal of microbiology (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Green Synthesis and Quality-by-Design Optimization ofMolecules (Basel, Switzerland) · 2026
    Article
  2. Eupatin, a Flavonoid, Inhibits Coronavirus 3CL Protease and Replication.International journal of molecular sciences · 2023
    Article
  3. Review
  4. Article
  5. Article
  6. Two years of COVID-19 pandemic: where are we now?Journal of microbiology (Seoul, Korea) · 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

5 authors.

Junsoo ParkDivision of Biological Science and Technology, Yonsei University, Wonju, 26493, Republic of Korea. junsoo@yonsei.ac.kr.
Rackhyun ParkDivision of Biological Science and Technology, Yonsei University, Wonju, 26493, Republic of Korea.
Minsu JangDivision of Biological Science and Technology, Yonsei University, Wonju, 26493, Republic of Korea.
Yea-In ParkDivision of Biological Science and Technology, Yonsei University, Wonju, 26493, Republic of Korea.
Yeonjeong ParkDivision of Biological Science and Technology, Yonsei University, Wonju, 26493, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease (COVID-19) can cause critical conditions that require efficient therapeutics. Several medicines are derived from plants, and researchers are seeking natural compounds to ameliorate the symptoms of COVID-19. Viral enzymes are popular targets of antiviral medicines; the genome of coronaviruses encodes several enzymes, including RNA-dependent RNA polymerase and viral proteases. Various screening systems have been developed to identify potential inhibitors. In this review, we describe the natural compounds that have been shown to exert inhibitory effects on coronavirus enzymes. Although computer-aided molecular structural studies have predicted several antiviral compound candidates, the current review focuses on experimentally proven natural compounds.

Indexed as

COVID-19 Drug TreatmentEnzyme InhibitorsAntiviral AgentsHumansPhytochemicalsRNA-Dependent RNA PolymeraseSARS-CoV-2Antiviral AgentsEnzyme InhibitorsPhytochemicalsRNA-Dependent RNA PolymerasecoronavirusCOVID-19natural compoundsSARS-CoV-2

Identifiers

PMID35089586
PMCPMC8795716

What OpenQuestion holds

Textmetadata
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.