About: Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein

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scientific article published on 04 April 2018

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в липні 2018 (uk) artículu científicu espublizáu n'abril de 2018 (ast) im Juli 2018 veröffentlichter wissenschaftlicher Artikel (de) scientific article published on 04 April 2018 (en)
publication date	wds:Q64138019-D10083A2-57D3-43AC-93A6-C04A24404663
publication date	2018-04-04 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q64138019-ECA249A3-4635-4038-8236-58A40D37B24B
language of work or name	English
cites work	wds:Q64138019-079DD741-0E8A-492B-8088-610DE135E2C9 wds:Q64138019-12365A60-C116-4689-975D-064EDF4B9305 wds:Q64138019-57A27237-2353-4FBD-BA73-1284DB86B194 wds:Q64138019-61AD2061-500A-4DC0-B3D7-C8401666C185 wds:Q64138019-737F19F1-046D-4272-915D-B288FF5B9DAE wds:Q64138019-AF20CC49-F305-4782-A7B2-7AE50A68F2EF wds:Q64138019-D98F3CF5-8CA4-4DE4-8925-C11C99A6EB74 wds:Q64138019-D9E61D93-704D-4A07-8AA9-D6E1548AC5FC wds:Q64138019-ED14BD78-EF5D-40B1-832D-1CEE48385285
cites work	The structural and accessory proteins M, ORF 4a, ORF 4b, and ORF 5 of Middle East respiratory syndrome coronavirus (MERS-CoV) are potent interferon antagonists Crystal structure of mouse coronavirus receptor-binding domain complexed with its murine receptor Responding to global infectious disease outbreaks: lessons from SARS on the role of risk perception, communication and management Identification of the Receptor-Binding Domain of the Spike Glycoprotein of Human Betacoronavirus HKU1. Receptor recognition mechanisms of coronaviruses: a decade of structural studies Bat-to-human: spike features determining 'host jump' of coronaviruses SARS-CoV, MERS-CoV, and beyond Coronavirus Host Range Expansion and Middle East Respiratory Syndrome Coronavirus Emergence: Biochemical Mechanisms and Evolutionary Perspectives Structure, Function, and Evolution of Coronavirus Spike Proteins Inferring the hosts of coronavirus using dual statistical models based on nucleotide composition
author name string	wds:Q64138019-078D523F-1585-4775-80DE-3EDB377911A4 wds:Q64138019-1273A2BC-CFEB-4BD8-9992-1F8BAC337BEA wds:Q64138019-449AC046-35C4-4F55-8A66-578270A24BF2 wds:Q64138019-4B6A3213-857C-4F38-8BA7-1E24E11C6E25 wds:Q64138019-5CD69040-1516-4F49-A8F9-BCB41284E718 wds:Q64138019-81638AA2-55B4-45D2-8E92-FF420DBA2945 wds:Q64138019-B4A3C1B9-5A83-46A1-A49D-A76A704D325A wds:Q64138019-BFECB656-4280-46B3-9440-D9FC144CE47B wds:Q64138019-D48A89D4-9667-465F-A17A-50B988913865
author name string	Zheng Zhang Haizhen Zhu Taijiao Jiang Xingyi Ge Wenjun Chen Wenjie Tan Yousong Peng Zhaozhong Zhu Zena Cai
rdfs:label	Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein (en) Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein (nl)
skos:prefLabel	Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein (en) Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein (nl)
name	Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein (en) Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein (nl)
title	wds:Q64138019-FC98661A-782F-4A42-A677-E432565FC994
title	Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein (en)
page(s)	wds:Q64138019-073E0389-2E0B-413B-88BD-EEA6685A4E2E
page(s)	183-184
instance of	wds:Q64138019-98D10311-80A0-4EAE-B3AB-04AF2BF9FE6F
instance of	scholarly article
main subject	wds:Q64138019-88138D4B-CF42-4FCE-842D-BDD2D6E8AC0A
main subject	Coronaviridae
PubMed ID	wds:Q64138019-5FDE5146-5971-4D89-A1FB-FB9740478A9C
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/29625240
PubMed ID	29625240
published in	wds:Q64138019-57763F92-2AB8-4894-A1DA-B8DC3A1B0AC6
published in	Infection, Genetics and Evolution
volume	wds:Q64138019-FB95B1DD-97B7-46AF-A447-1C9A1993625E
volume	61
DOI	wds:Q64138019-87D4B8AE-7780-4CBC-9E61-6431FC64C0FD
DOI	http://dx.doi.org/10.1016/J.MEEGID.2018.03.028
DOI	10.1016/J.MEEGID.2018.03.028
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q64138019
is cites work of	Genome Composition and Divergence of the Novel Coronavirus (2019-nCoV) Originating in China The genetic sequence, origin, and diagnosis of SARS-CoV-2 Molecular diagnosis of COVID-19: Current situation and trend in China (Review) Genetic characterization of structural and open reading Fram-8 proteins of SARS-CoV-2 isolates from different countries The novel coronavirus Disease-2019 (COVID-19): Mechanism of action, detection and recent therapeutic strategies
is cites work of	wds:Q89606309-DDBBFF22-AD5F-4A22-BDF1-95709F7E45AA wds:Q99551739-DE22F929-AA14-4A1C-99F2-63B6B5495D7E wds:Q99584556-A1F7B82D-E33F-4CBC-A726-F4089643F9BC wds:Q93218273-3D3C86CE-965E-4D02-B858-E68529C41191 wds:Q100430432-F366E4AD-28B5-480C-BF91-AE56BF1CC88F

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