Evidence map›Paper›PMID 32379896›Full record

ArticleFEBS letters2020

Knowledge-based structural models of SARS-CoV-2 proteins and their complexes with potential drugs.

Atsushi Hijikata, Clara Shionyu-Mitsuyama, Setsu Nakae, Masafumi Shionyu, Motonori Ota, Shigehiko Kanaya, Tsuyoshi Shirai

Open access · bronzeAbstract read
In one paragraph

Article in FEBS letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Drugs for COVID-19 Treatment: A New Challenge.Applied biochemistry and biotechnology · 2023
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Repurposing cefuroxime for treatment of COVID-19: a scoping review ofJournal of biomolecular structure & dynamics · 2021
    Article
  12. Article
  13. The COVID-19 Drug and Gene Set Library.Patterns (New York, N.Y.) · 2020
    Article
  14. Review
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 3 institutions in 1 country.

Atsushi HijikataFaculty of Bioscience, Nagahama Institute of Bio-Science and Technology, Japan.ORCID 0000-0003-4297-8368
Clara Shionyu-MitsuyamaFaculty of Bioscience, Nagahama Institute of Bio-Science and Technology, Japan.
Setsu NakaeFaculty of Bioscience, Nagahama Institute of Bio-Science and Technology, Japan.
Masafumi ShionyuFaculty of Bioscience, Nagahama Institute of Bio-Science and Technology, Japan.ORCID 0000-0002-0431-3456
Motonori OtaDepartment of Complex Systems Science, Graduate School of Informatics, Nagoya University, Japan.ORCID 0000-0001-9090-668X
Shigehiko KanayaComputational Biology Laboratory, Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology (NAIST), Ikoma, Japan.
Tsuyoshi ShiraiFaculty of Bioscience, Nagahama Institute of Bio-Science and Technology, Japan.ORCID 0000-0002-2506-5738
Nagahama Institute of Bio-Science and Technology · JPNagoya University · JPNara Institute of Science and Technology · JP

Funding

Japan Agency for Medical Research and Development
6 · The paper itself

Abstract

The World Health Organization (WHO) has declared the coronavirus disease 2019 (COVID-19) caused by the novel coronavirus SARS-CoV-2 a pandemic. There is, however, no confirmed anti-COVID-19 therapeutic currently. In order to assist structure-based discovery efforts for repurposing drugs against this disease, we constructed knowledge-based models of SARS-CoV-2 proteins and compared the ligand molecules in the template structures with approved/experimental drugs and components of natural medicines. Our theoretical models suggest several drugs, such as carfilzomib, sinefungin, tecadenoson, and trabodenoson, that could be further investigated for their potential for treating COVID-19.

Indexed as

Antiviral AgentsBetacoronavirusModels, MolecularProtein ConformationSARS-CoV-2Viral ProteinsAntiviral AgentsViral ProteinscoronavirusCOVID-19crude drugdrug repurposinghomology modelingSARS-CoV

Identifiers

PMID32379896
PMCPMC7267562
OpenAlexW3023751871

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.