Evidence map›Paper›PMID 32693298›Full record

ReviewEuropean journal of medicinal chemistry2020

COVID-19 treatment: Much research and testing, but far, few magic bullets against SARS-CoV-2 coronavirus.

Vladimir V Kouznetsov

Abstract readReview
In one paragraph

Review in European journal of medicinal chemistry, 2020. 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. Article
  4. Article
  5. Review
  6. Insights into forsythia honeysuckle (Lianhuaqingwen) capsules: A Chinese herbal medicine repurposed for COVID-19 pandemic.Phytomedicine plus : international journal of phytotherapy and phytopharmacology · 2021
    Review
  7. Review
  8. Review
  9. Article
  10. Medicines and illusions in the fight against COVID-19 in Brazil.Ethics, medicine, and public health · 2021
    Article
  11. Article
  12. Optimization in the Context of COVID-19 Prediction and Control: A Literature Review.IEEE access : practical innovations, open solutions · 2021
    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

1 author.

Vladimir V KouznetsovLaboratorio de Química Orgánica y Biomolecular, CMN, Universidad Industrial de Santander, Parque Tecnológico Guatiguará, Piedecuesta, 681011, Colombia. Electronic address: kouznet@uis.edu.co.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The new virus of the of β-Coronaviruses genus, SARS-CoV-2, is the causative agent of coronavirus disease-2019 (COVID-19) and is winning a proverbial chess match against all players simultaneous, including physicians, clinicians, pathologists, doctors, scientists, economists, athletes and politicians. The COVID-19 outbreak has seriously threatened public health, killing the most vulnerable persons and causing general panic. To stop this disease, effective remedies (i.e., drugs, vaccines, personal protection elements, etc.) are urgently required. Unfortunately, no registered specific therapies (including antiviral therapies, immune-modulating agents and vaccines) are currently available to treat coronavirus infections, highlighting an urgent need for therapeutics targeting SARS-CoV-2. In this work, fourteen existing small molecule drugs or/and experimental drugs selected by experts and examined from the point of view of bioavailability via the Lipinski-Veber rules and assessment of their physicochemical descriptors. The aim of this study is to discover selected pattern similarities and peculiar characteristics that could be useful for antiviral drug optimization, drug combination or new antiviral agent design.

Indexed as

AnimalsAntiviral AgentsBetacoronavirusBiological AvailabilityCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentCOVID-19 VaccinesDrug CombinationsHumansPandemicsPneumonia, ViralSARS-CoV-2Viral VaccinesAntiviral AgentsCOVID-19 VaccinesDrug CombinationsViral VaccinesAntiviral drugsBioactivity scoresCOVID-19In silico ADMET propertiesLipinski’s parametersSARS-CoV-2

Identifiers

PMID32693298
PMCPMC7362854

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.