PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Bioinformatics and Biological Statistics, Shanghai Jiao Tong University, Shanghai, P.R. China.\', \'Department of Microbiology, Quaid-i-Azam University, Islamabad, Pakistan.\', \'Center for Biotechnology and Microbiology, University of Swat, Swat, Khyber-Pakhtunkhwa, Pakistan.\', \'National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.\', \'Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait.\', \'State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Laboratory of Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, P.R. China.\', \'Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nashan District, Guangdong, Shenzhen, P.R. China.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1002/jcp.30367
?:hasPublicationType
?:journal
  • Journal of cellular physiology
is ?:pmid of
?:pmid
?:pmid
  • 33755190
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.641
?:rankingScore_hIndex
  • 154
?:title
  • Higher infectivity of the SARS-CoV-2 new variants is associated with K417N/T, E484K, and N501Y mutants: An insight from structural data.
?:type
?:year
  • 2021

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