Evidence map›Paper›PMID 36002440›Full record

ReviewChemical biology & drug design2022

A review on computer-aided chemogenomics and drug repositioning for rational COVID-19 drug discovery.

Saeid Maghsoudi, Bahareh Taghavi Shahraki, Fatemeh Rameh, Masoomeh Nazarabi, Yousef Fatahi, Omid Akhavan, Mohammad Rabiee, Ebrahim Mostafavi, Eder C Lima, Mohammad Reza Saeb and 1 more

Open access · hybridAbstract readReview
In one paragraph

Review in Chemical biology & drug design, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Review
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  4. Review
  5. Advances in MiRNAs Involved in Endometrial Carcinoma.Combinatorial chemistry & high throughput screening · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Exploring the Constituents and Mechanisms ofCombinatorial chemistry & high throughput screening · 2025
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Hybridization-driven fluorometric platform based on metal-organic frameworks for the identification of the highly homologous viruses.Microchemical journal : devoted to the application of microtechniques in all branches of science · 2023
    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

11 authors at 11 institutions in 7 countries.

Saeid MaghsoudiFaculty of Medicine, Department of Physiology and Pathophysiology, University of Manitoba, Winnipeg, Manitoba, Canada.
Bahareh Taghavi ShahrakiDepartment of Medicinal Chemistry, Shiraz University of Technology, Shiraz, Iran.
Fatemeh RamehFaculty of Chemistry, Damghan University, Damghan, Iran.
Masoomeh NazarabiFaculty of Organic Chemistry, Department of Chemistry, University of Kashan, Kashan, Iran.
Yousef FatahiDepartment of Pharmaceutical Nanotechnology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Omid AkhavanDepartment of Physics, Sharif University of Technology, Tehran, Iran.
Mohammad RabieeBiomaterials Group, Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.ORCID 0000-0003-1180-8729
Ebrahim MostafaviStanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0003-3958-5002
Eder C LimaInstitute of Chemistry, Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil.
Mohammad Reza SaebDepartment of Polymer Technology, Faculty of Chemistry, Gdańsk University of Technology, Gdańsk, Poland.
Navid RabieeDepartment of Physics, Sharif University of Technology, Tehran, Iran.ORCID 0000-0002-6945-8541
Amirkabir University of Technology · IRCardiovascular Institute of the South · USChildren's Hospital Research Institute of Manitoba · CADamghan University · IRGdańsk University of Technology · PLPohang University of Science and Technology · KRSharif University of Technology · IRShiraz University of Technology · IRTehran University of Medical Sciences · IRUniversidade Federal do Rio Grande · BRUniversity of Kashan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Application of materials capable of energy harvesting to increase the efficiency and environmental adaptability is sometimes reflected in the ability of discovery of some traces in an environment-either experimentally or computationally-to enlarge practical application window. The emergence of computational methods, particularly computer-aided drug discovery (CADD), provides ample opportunities for the rapid discovery and development of unprecedented drugs. The expensive and time-consuming process of traditional drug discovery is no longer feasible, for nowadays the identification of potential drug candidates is much easier for therapeutic targets through elaborate in silico approaches, allowing the prediction of the toxicity of drugs, such as drug repositioning (DR) and chemical genomics (chemogenomics). Coronaviruses (CoVs) are cross-species viruses that are able to spread expeditiously from the into new host species, which in turn cause epidemic diseases. In this sense, this review furnishes an outline of computational strategies and their applications in drug discovery. A special focus is placed on chemogenomics and DR as unique and emerging system-based disciplines on CoV drug and target discovery to model protein networks against a library of compounds. Furthermore, to demonstrate the special advantages of CADD methods in rapidly finding a drug for this deadly virus, numerous examples of the recent achievements grounded on molecular docking, chemogenomics, and DR are reported, analyzed, and interpreted in detail. It is believed that the outcome of this review assists developers of energy harvesting materials and systems for detection of future unexpected kinds of CoVs or other variants.

Indexed as

COVID-19 Drug TreatmentDrug RepositioningComputersDrug DesignDrug DiscoveryHumansMolecular Docking Simulationchemogenomicscomputational drug discoverycoronavirus diseaseCovid-19drug repositioningpolypharmacology

Identifiers

PMID36002440
PMCPMC9539342
OpenAlexW4293000556

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.