AIM: To obtain the information of protein-protein interaction between the SARS-CoV proteins and caveolin-1, identify the possible caveolin-binding sites in SARS-CoV proteins. METHODS: On the basis of three related caveolin-binding motifs, amino acid motif search was employed to predict the possible caveolin-1 related interaction domains in the SARS-CoV proteins. The molecular modeling and docking simulation methods were used to confirm the interaction between caveolin-1 and SARS-CoV proteins. RESULTS: Thirty six caveolin-binding motifs in the SARS-CoV proteins have been mapped out using bioinformatics analysis tools. Molecular modeling and simulation have confirmed 8 caveolin-binding sites. These caveolin-binding sites located in replicase 1AB, spike protein, orf3 protein, and M protein, respectively. CONCLUSION: Caveolin-1 may serve as a possible receptor of the SARS-CoV proteins, which may be associated with the SARS-CoV infection, replication, assembly, and budding.
AIM: To obtain the information of protein-protein interaction between the SARS-CoV proteins and caveolin-1, identify the possible caveolin-binding sites in SARS-CoV proteins. METHODS: On the basis of three related caveolin-binding motifs, amino acid motif search was employed to predict the possible caveolin-1 related interaction domains in the SARS-CoV proteins. The molecular modeling and docking simulation methods were used to confirm the interaction between caveolin-1 and SARS-CoV proteins. RESULTS: Thirty six caveolin-binding motifs in the SARS-CoV proteins have been mapped out using bioinformatics analysis tools. Molecular modeling and simulation have confirmed 8 caveolin-binding sites. These caveolin-binding sites located in replicase 1AB, spike protein, orf3 protein, and M protein, respectively. CONCLUSION:Caveolin-1 may serve as a possible receptor of the SARS-CoV proteins, which may be associated with the SARS-CoV infection, replication, assembly, and budding.
Authors: Yang Jin; Seon-Jin Lee; Richard D Minshall; Augustine M K Choi Journal: Am J Physiol Lung Cell Mol Physiol Date: 2010-11-19 Impact factor: 5.464
Authors: Ahmed Hamd; Diaa Elhak Abdulraheem; Aftab Aslam Parwaz Khan; Mohamed Shaban; Khalid A Alamry; Abdullah M Asiri Journal: Model Earth Syst Environ Date: 2021-06-27