A review on computer‐aided chemogenomics and drug repositioning for rational COVID‐19 drug discovery. (22nd September 2022)
- Record Type:
- Journal Article
- Title:
- A review on computer‐aided chemogenomics and drug repositioning for rational COVID‐19 drug discovery. (22nd September 2022)
- Main Title:
- A review on computer‐aided chemogenomics and drug repositioning for rational COVID‐19 drug discovery
- Authors:
- Maghsoudi, Saeid
Taghavi Shahraki, Bahareh
Rameh, Fatemeh
Nazarabi, Masoomeh
Fatahi, Yousef
Akhavan, Omid
Rabiee, Mohammad
Mostafavi, Ebrahim
Lima, Eder C.
Saeb, Mohammad Reza
Rabiee, Navid - Abstract:
- 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,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. Abstract : Chemogenomics and DR have become efficient approaches to screening potential therapeutic drugs for COVID‐19. … (more)
- Is Part Of:
- Chemical biology & drug design. Volume 100:Number 5(2022)
- Journal:
- Chemical biology & drug design
- Issue:
- Volume 100:Number 5(2022)
- Issue Display:
- Volume 100, Issue 5 (2022)
- Year:
- 2022
- Volume:
- 100
- Issue:
- 5
- Issue Sort Value:
- 2022-0100-0005-0000
- Page Start:
- 699
- Page End:
- 721
- Publication Date:
- 2022-09-22
- Subjects:
- chemogenomics -- computational drug discovery -- coronavirus disease -- Covid‐19 -- drug repositioning -- polypharmacology
Drugs -- Design -- Periodicals
Pharmaceutical chemistry -- Periodicals
Biochemistry -- Periodicals
615.19005 - Journal URLs:
- http://gateway.ovid.com/ovidweb.cgi?T=JS&MODE=ovid&NEWS=n&PAGE=toc&D=ovft&AN=01253034-000000000-00000 ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1747-0285 ↗
http://www.blackwell-synergy.com/loi/jpp ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/cbdd.14136 ↗
- Languages:
- English
- ISSNs:
- 1747-0277
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3139.120000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 24032.xml