@article{APS9136,
author = {Xiao-Jing Yu and Cheng Luo and Jian-Cheng Lin and Pei Hao and You-Yu He and Zong-Ming Guo and Lei Qin and Jiong Su and Bo-Shu Liu and Yin Huang and Peng Nan and Chuan-Song Li and Bin Xiong and Xiao-Min Luo and Guo-Ping Zhao and Gang Pei and Kai-Xian Chen and Xu Shen and Jian-Hua Shen and Jian-Ping Zou and Wei-Zhong He and Tei-Liu Shi and Yang Zhong and Hua-Liang Jiang and Yi-Xue Li},
title = {Putative hAPN receptor binding sites in SARS_CoV spike protein.},
journal = {Acta Pharmacologica Sinica},
volume = {24},
number = {6},
year = {2016},
keywords = {},
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.},
issn = {1745-7254}, url = {http://www.chinaphar.com/article/view/9136}
}