Cargando…
Machine learning reveals the critical interactions for SARS-CoV-2 spike protein binding to ACE2
Autores principales: | Pavlova, Anna, Zhang, Zijian, Acharya, Atanu, Lynch, Diane L., Tik Pang, Yui, Mou, Zhongyu, Parks, Jerry M., Chipot, Christophe J., Gumbart, James C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biophysical Society. Published by Elsevier Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833061/ http://dx.doi.org/10.1016/j.bpj.2021.11.2558 |
Ejemplares similares
-
SARS-CoV-2 spike opening dynamics and energetics reveal the individual roles of glycans and their collective impact
por: Tik Pang, Yui, et al.
Publicado: (2023) -
SARS-CoV-2 spike opening dynamics and energetics reveal the individual roles of glycans and their collective impact
por: Pang, Yui Tik, et al.
Publicado: (2022) -
Distinct Differences in the Interactions of Receptor Binding Domains of SARS-CoV-2 and SARS-CoV with Human ACE2
por: Acharya, Atanu, et al.
Publicado: (2021) -
Energetics of Opening for the Glycosylated and Unglycosylated Forms of the SARS-CoV-2 S-Protein Trimer
por: Tik Pang, Yui, et al.
Publicado: (2021) -
Inhibitor binding influences the protonation states of histidines in SARS-CoV-2 main protease
por: Pavlova, Anna, et al.
Publicado: (2020)