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is ?:annotates of
?:authorAffiliation
  • [\'Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China.\', \'Institute of Food Sciences and Technology, Chinese Academy of Agriculture Sciences, Beijing, 100193, China.\', \'Department of Health and Biological Sciences, Abasyn University, Peshawar, 25000, Pakistan.\', \'Center for Biotechnology and Microbiology, University of Swat, Swat, KP, Pakistan.\', \'Department of Botany, University of Okara, Punjab, Pakistan.\', \'School of Public Health, Department of Epidemiology, Southern Medical University, Dermatology Hospital, Guangzhou, China.\', \'Advanced Drug Delivery Laboratory, Department of Pharmaceutical Technology, Faculty of Pharmacy, International Islamic University Malaysia, 25200, Kuantan, Pahang, Malaysia.\', \'Faculty of Rehabilitation and Allied Health Science, Riphah International University, Islamabad, Pakistan.\', \'Saidu Teaching Hospital, Saidu Sharif, Swat, Khyber Pakhtunkhwa, Pakistan.\', \'School of Statistics, Renmin University of China, PR China.\', \'Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China; Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nashan District, Shenzhen, Guangdong, 518055, PR China; State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200030, PR China. Electronic address: dqwei@sjtu.edu.cn.\']
?:citedBy
  • -1
?:creator
?:doi
  • S0010-4825(21)00957-410.1016/j.compbiomed.2021.105163
?:doi
?:hasPublicationType
?:journal
  • Computers in biology and medicine
is ?:pmid of
?:pmid
?:pmid
  • 34979405
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.591
?:rankingScore_hIndex
  • 68
is ?:relation_isRelatedTo_publication of
?:title
  • Computational modelling of potentially emerging SARS-CoV-2 spike protein RBDs mutations with higher binding affinity towards ACE2: A structural modelling study.
?:type
?:year
  • 2022

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