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 language | English |
|---|---|
| Pages (from-to) | 481-488+619 |
| Journal | Acta Pharmacologica Sinica |
| Volume | 24 |
| Issue number | 6 |
| State | Published - 1 Jun 2003 |
| Externally published | Yes |
Keywords
- Bioinformatics
- CD13
- Molecular docking
- Molecular modeling
- Severe acute respiratory syndrome (SARS)
- Spike protein