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 Saeb; Navid Rabiee

doi:10.1111/cbdd.14136

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

Abstrakt

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.

Cytowania

2 4

CrossRef
0

Web of Science
2 7

Scopus

Autorzy (11)

Saeid Maghsoudi
Bahareh Taghavi Shahraki
Fatemeh Rameh
Masoomeh Nazarabi
Yousef Fatahi
Omid Akhavan
Mohammad Rabiee
Ebrahim Mostafavi
Eder C. Lima
Mohammad Saeb dr inż.
Navid Rabiee

Cytuj jako

Pełna treść

pobierz publikację

pobrano 47 razy

Wersja publikacji: Accepted albo Published Version
DOI:: Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1111/cbdd.14136
Licencja: otwiera się w nowej karcie

pełna treść artykułu zobacz w serwisie zewnętrznym otwiera się w nowej karcie

Słowa kluczowe

Informacje szczegółowe

Kategoria:

Publikacja w czasopiśmie

Typ:

artykuły w czasopismach

Opublikowano w:

Chemical Biology & Drug Design nr 100, strony 699 - 721,
ISSN: 1747-0277

Język:

angielski

Rok wydania:

2022

Opis bibliograficzny:

Maghsoudi S., Taghavi Shahraki B., Rameh F., Nazarabi M., Fatahi Y., Akhavan O., Rabiee M., Mostafavi E., Lima E. C., Saeb M., Rabiee N.: A review on computer‐aided chemogenomics and drug repositioning for rational COVID ‐19 drug discovery// Chemical Biology & Drug Design -Vol. 100,iss. 5 (2022), s.699-721

DOI: