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Machine learning reveals the critical interactions for SARS-CoV-2 spike protein binding to ACE2
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Biophysical Society. Published by Elsevier Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833061/ http://dx.doi.org/10.1016/j.bpj.2021.11.2558 |
| _version_ | 1784648844807503872 |
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| author | Pavlova, Anna Zhang, Zijian Acharya, Atanu Lynch, Diane L. Tik Pang, Yui Mou, Zhongyu Parks, Jerry M. Chipot, Christophe J. Gumbart, James C. |
| author_facet | Pavlova, Anna Zhang, Zijian Acharya, Atanu Lynch, Diane L. Tik Pang, Yui Mou, Zhongyu Parks, Jerry M. Chipot, Christophe J. Gumbart, James C. |
| author_sort | Pavlova, Anna |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8833061 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Biophysical Society. Published by Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-88330612022-02-14 Machine learning reveals the critical interactions for SARS-CoV-2 spike protein binding to ACE2 Pavlova, Anna Zhang, Zijian Acharya, Atanu Lynch, Diane L. Tik Pang, Yui Mou, Zhongyu Parks, Jerry M. Chipot, Christophe J. Gumbart, James C. Biophys J Article Biophysical Society. Published by Elsevier Inc. 2022-02-11 2022-02-11 /pmc/articles/PMC8833061/ http://dx.doi.org/10.1016/j.bpj.2021.11.2558 Text en Copyright © 2021 Biophysical Society. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Article Pavlova, Anna Zhang, Zijian Acharya, Atanu Lynch, Diane L. Tik Pang, Yui Mou, Zhongyu Parks, Jerry M. Chipot, Christophe J. Gumbart, James C. Machine learning reveals the critical interactions for SARS-CoV-2 spike protein binding to ACE2 |
| title | Machine learning reveals the critical interactions for SARS-CoV-2 spike protein binding to ACE2 |
| title_full | Machine learning reveals the critical interactions for SARS-CoV-2 spike protein binding to ACE2 |
| title_fullStr | Machine learning reveals the critical interactions for SARS-CoV-2 spike protein binding to ACE2 |
| title_full_unstemmed | Machine learning reveals the critical interactions for SARS-CoV-2 spike protein binding to ACE2 |
| title_short | Machine learning reveals the critical interactions for SARS-CoV-2 spike protein binding to ACE2 |
| title_sort | machine learning reveals the critical interactions for sars-cov-2 spike protein binding to ace2 |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833061/ http://dx.doi.org/10.1016/j.bpj.2021.11.2558 |
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