Soorajkumar, A.; Alakraf, E.; Uddin, M.; Du Plessis, S.S.; Alsheikh-Ali, A.; Kandasamy, R.K.
Computational Analysis of Short Linear Motifs in the Spike Protein of SARS-CoV-2 Variants Provides Possible Clues into the Immune Hijack and Evasion Mechanisms of Omicron Variant. Int. J. Mol. Sci. 2022, 23, 8822.
https://doi.org/10.3390/ijms23158822
AMA Style
Soorajkumar A, Alakraf E, Uddin M, Du Plessis SS, Alsheikh-Ali A, Kandasamy RK.
Computational Analysis of Short Linear Motifs in the Spike Protein of SARS-CoV-2 Variants Provides Possible Clues into the Immune Hijack and Evasion Mechanisms of Omicron Variant. International Journal of Molecular Sciences. 2022; 23(15):8822.
https://doi.org/10.3390/ijms23158822
Chicago/Turabian Style
Soorajkumar, Anjana, Ebrahim Alakraf, Mohammed Uddin, Stefan S. Du Plessis, Alawi Alsheikh-Ali, and Richard K. Kandasamy.
2022. "Computational Analysis of Short Linear Motifs in the Spike Protein of SARS-CoV-2 Variants Provides Possible Clues into the Immune Hijack and Evasion Mechanisms of Omicron Variant" International Journal of Molecular Sciences 23, no. 15: 8822.
https://doi.org/10.3390/ijms23158822
APA Style
Soorajkumar, A., Alakraf, E., Uddin, M., Du Plessis, S. S., Alsheikh-Ali, A., & Kandasamy, R. K.
(2022). Computational Analysis of Short Linear Motifs in the Spike Protein of SARS-CoV-2 Variants Provides Possible Clues into the Immune Hijack and Evasion Mechanisms of Omicron Variant. International Journal of Molecular Sciences, 23(15), 8822.
https://doi.org/10.3390/ijms23158822