Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2

Basit Öğe Kaydı
dc.authoridhttps://orcid.org/0000-0001-8579-5444en_US
dc.authoridhttps://orcid.org/0000-0002-6464-1101en_US
dc.authoridhttps://orcid.org/0000-0002-2881-8635en_US
dc.authoridhttps://orcid.org/0000-0002-0792-7031en_US
dc.contributor.authorAlsharif, Mohammed H.
dc.contributor.authorAlsharif, Yahia H.
dc.contributor.authorAlbreem, Mahmoud A. M.
dc.contributor.authorJahid, Abu
dc.contributor.authorSolyman, Ahmad Amin Ahmad
dc.contributor.authorYahya, Khalid O. Moh.
dc.contributor.authorAlomari, Osama Ahmad
dc.contributor.authorHossain, Md. Sanwar
dc.date.accessioned2023-08-16T07:36:51Z
dc.date.available2023-08-16T07:36:51Z
dc.date.issued2020en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractResearchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARSCoV-19 through existing data that reveal the SARS’s cause. Artificial intelligence (AI) learning models can be created to predict drug structures that can be used to treat COVID-19. Despite the effectively demonstrated repurposed drugs, more repurposed drugs should be recognized. Furthermore, technological advancements have been helpful in the battle against COVID-19. Machine intelligence technology can support this procedure by rapidly determining adequate and effective drugs against COVID-19 and by overcoming any barrier between a large number of repurposed drugs, laboratory/clinical testing, and final drug authorization. This paper reviews the proposed vaccines and medicines for SARSCoV-2 and the current application of AI in drug repurposing for COVID-19 treatment.en_US
dc.identifier.doi10.26355/eurrev_202011_23860en_US
dc.identifier.endpage11981en_US
dc.identifier.issn1128-3602
dc.identifier.issue22en_US
dc.identifier.pmid33275275en_US
dc.identifier.scopus2-s2.0-85097126863en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage11977en_US
dc.identifier.urihttps://hdl.handle.net/11363/5352
dc.identifier.urihttps://doi.org/
dc.identifier.volume24en_US
dc.identifier.wosWOS:000594462100075en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorSolyman, Ahmad Amin Ahmad
dc.institutionauthorYahya, Khalid O. Moh.
dc.institutionauthorAlomari, Osama Ahmad
dc.language.isoenen_US
dc.publisherVERDUCI PUBLISHER, VIA GREGORIO VII, ROME 186-00165, ITALYen_US
dc.relation.ispartofEuropean Review for Medical and Pharmacological Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectCOVID-19en_US
dc.subjectSARS-CoV-2en_US
dc.subjectCoronavirusen_US
dc.subjectArtificial intelligenceen_US
dc.subjectMachine learningen_US
dc.titleApplication of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2en_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
11977-11981.pdf
Boyut:
508.08 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale / Article
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.56 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Web of Science ve Scopus Atıf Dizinlerindeki Yayınlar
PubMed İndeksli Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu