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Bioinformatic analysis of the S protein of human respiratory coronavirus.
Niu, Zheng; Xu, ShaSha; Zhang, JingYi; Zou, ZhuoLan; Ren, LiXin; Liu, XiangYang; Zhang, ShuJuan; Zou, Hong; Hu, Xia; Wang, Jing; Zhang, Li; Zhou, Yang; Song, ZhenHui.
  • Niu Z; College of Veterinary Medicine, Southwest University, Chongqing, China; College of Veterinary Medicine, Northwest A&F University, Shaanxi, China. Electronic address: nz0511@126.com.
  • Xu S; College of Veterinary Medicine, Southwest University, Chongqing, China. Electronic address: 909345167@qq.com.
  • Zhang J; College of Veterinary Medicine, Southwest University, Chongqing, China. Electronic address: 564461985@qq.com.
  • Zou Z; College of Veterinary Medicine, Southwest University, Chongqing, China; Immunology Research Center, Medical Research Institute, Southwest University, Chongqing, China.
  • Ren L; College of Veterinary Medicine, Southwest University, Chongqing, China. Electronic address: 525104823@qq.com.
  • Liu X; College of Veterinary Medicine, Southwest University, Chongqing, China; College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China. Electronic address: 798304505@qq.com.
  • Zhang S; College of Veterinary Medicine, Southwest University, Chongqing, China. Electronic address: 3466396106@qq.com.
  • Zou H; College of Veterinary Medicine, Southwest University, Chongqing, China. Electronic address: 767713928@qq.com.
  • Hu X; College of Veterinary Medicine, Southwest University, Chongqing, China. Electronic address: 2550418434@qq.com.
  • Wang J; College of Veterinary Medicine, Southwest University, Chongqing, China. Electronic address: 2860235766@qq.com.
  • Zhang L; College of Veterinary Medicine, Southwest University, Chongqing, China. Electronic address: 3045706471@qq.com.
  • Zhou Y; College of Veterinary Medicine, Southwest University, Chongqing, China; College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China. Electronic address: 1320517712@qq.com.
  • Song Z; College of Veterinary Medicine, Southwest University, Chongqing, China; Immunology Research Center, Medical Research Institute, Southwest University, Chongqing, China. Electronic address: szh7678@126.com.
Mol Phylogenet Evol ; 181: 107704, 2023 04.
Article in English | MEDLINE | ID: covidwho-2233819
ABSTRACT
The present study aimed to apply bioinformatic methods to analyze the structure of the S protein of human respiratory coronaviruses, including severe respiratory disease syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS-CoV), human coronavirus HKU1 (HCoV-HKU1), and severe respiratory disease syndrome coronavirus type 2 (SARS-CoV-2). We predicted and analyzed the physicochemical properties, hydrophilicity and hydrophobicity, transmembrane regions, signal peptides, phosphorylation and glycosylation sites, epitopes, functional domains, and motifs of the S proteins of human respiratory coronaviruses. All four S proteins contain a transmembrane region, which enables them to bind to host cell surface receptors. All four S proteins contain a signal peptide, phosphorylation sites, glycosylation sites, and epitopes. The predicted phosphorylation sites might mediate S protein activation, the glycosylation sites might affect the cellular orientation of the virus, and the predicted epitopes might have implications for the design of antiviral inhibitors. The S proteins of all four viruses have two structural domains, S1 (C-terminal and N-terminal domains) and S2 (homology region 1 and 2). Our bioinformatic analysis of the structural and functional domains of human respiratory coronavirus S proteins provides a basis for future research to develop broad-spectrum antiviral drugs, vaccines, and antibodies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Middle East Respiratory Syndrome Coronavirus / COVID-19 Type of study: Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Journal: Mol Phylogenet Evol Journal subject: Biology / Molecular Biology Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Middle East Respiratory Syndrome Coronavirus / COVID-19 Type of study: Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Journal: Mol Phylogenet Evol Journal subject: Biology / Molecular Biology Year: 2023 Document Type: Article