Evidence map›Paper›PMID 32715315›Full record

ArticleBriefings in bioinformatics2021

Virus-CKB: an integrated bioinformatics platform and analysis resource for COVID-19 research.

Zhiwei Feng, Maozi Chen, Tianjian Liang, Mingzhe Shen, Hui Chen, Xiang-Qun Xie

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023
    Review
  4. Review
  5. Article
  6. The Spike Mutants Website: A Worldwide Used Resource against SARS-CoV-2.International journal of molecular sciences · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Databases, Knowledgebases, and Software Tools for Virus Informatics.Advances in experimental medicine and biology · 2022
    Article
  12. Review
  13. Drug repositioning: A bibliometric analysis.Frontiers in pharmacology · 2022
    Review
  14. Review
  15. Article
  16. IsAb: a computational protocol for antibody design.Briefings in bioinformatics · 2021
    Article
  17. Review
  18. Article
  19. Review
  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

6 authors.

Zhiwei FengSchool of Pharmacy, University of Pittsburgh.
Maozi ChenSouth China Agricultural University, China.
Tianjian LiangJiangnan University, China.
Mingzhe ShenSchool of Pharmacy, University of Pittsburgh.
Hui ChenSchool of Pharmacy, University of Pittsburgh.
Xiang-Qun XieSchool of Pharmacy and a Professor of Pharmaceutical Sciences.

Funding

NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)P30DA035778 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, XIE, XIANG-QUN · 2014 to 2018
$5.4M
NIDA NIH HHS P30 DA035778
6 · The paper itself

Abstract

Given the scale and rapid spread of the coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there is an urgent need for medicines that can help before vaccines are available. In this study, we present a viral-associated disease-specific chemogenomics knowledgebase (Virus-CKB) and apply our computational systems pharmacology-target mapping to rapidly predict the FDA-approved drugs which can quickly progress into clinical trials to meet the urgent demand of the COVID-19 outbreak. Virus-CKB reuses the underlying platform of our DAKB-GPCRs but adds new features like multiple-compound support, multi-cavity protein support and customizable symbol display. Our one-stop computing platform describes the chemical molecules, genes and proteins involved in viral-associated diseases regulation. To date, Virus-CKB archived 65 antiviral drugs in the market, 107 viral-related targets with 189 available 3D crystal or cryo-EM structures and 2698 chemical agents reported for these target proteins. Moreover, Virus-CKB is implemented with web applications for the prediction of the relevant protein targets and analysis and visualization of the outputs, including HTDocking, TargetHunter, BBB predictor, NGL Viewer, Spider Plot, etc. The Virus-CKB server is accessible at https://www.cbligand.org/g/virus-ckb.

Indexed as

Computational BiologyAntiviral AgentsCOVID-19Drug RepositioningHumansMolecular Docking SimulationSARS-CoV-2Antiviral AgentsCOVID-19drug combinationdrug repurposingsystems pharmacology analysisvirus knowledgebase

Identifiers

PMID32715315
PMCPMC7454273

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.