Putative hAPN receptor binding sites in SARS_CoV spike protein

  • Xiao Jing Yu
  • , Cheng Luo
  • , Jian Cheng Lin
  • , Pei Hao
  • , You Yu He
  • , Zong Ming Guo
  • , Lei Qin
  • , Jiong Su
  • , Bo Shu Liu
  • , Yin Huang
  • , Peng Nan
  • , Chuan Song Li
  • , Bin Xiong
  • , Xiao Min Luo
  • , Guo Ping Zhao
  • , Gang Pei
  • , Kai Xian Chen
  • , Xu Shen
  • , Jian Hua Shen
  • , Jian Ping Zou
  • Wei Zhong He, Tie Liu Shi, Yang Zhong, Hua Liang Jiang, Yi Xue Li*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

AIM: To obtain the information of ligand-receptor binding between the S protein of SARS_CoV and CD13, identify the possible interacting domains or motifs related to binding sites, and provide clues for studying the functions of SARS proteins and designing anti-SARS drugs and vaccines. METHODS: On the basis of comparative genomics, the homology search, phylogenetic analyses, and multi-sequence alignment were used to predict CD13 related interacting domains and binding sites in the S protein of SARS_CoV. Molecular modeling and docking simulation methods were employed to address the interaction feature between CD13 and S protein of SARS_CoV in validating the bioinformatics predictions. RESULTS: Possible binding sites in the SARS_CoV S protein to CD13 have been mapped out by using bioinformatics analysis tools. The binding for one protein-protein interaction pair (D757-R761 motif of the SARS_CoV S protein to P585-A653 domain of CD13) has been simulated by molecular modeling and docking simulation methods. CONCLUSION: CD13 may be a possible receptor of the SARS_CoV S protein, which may be associated with the SARS infection. This study also provides a possible strategy for mapping the possible binding receptors of the proteins in a genome.

Original languageEnglish
Pages (from-to)481-488+619
JournalActa Pharmacologica Sinica
Volume24
Issue number6
StatePublished - 1 Jun 2003
Externally publishedYes

Keywords

  • Bioinformatics
  • CD13
  • Molecular docking
  • Molecular modeling
  • Severe acute respiratory syndrome (SARS)
  • Spike protein

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