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Constrained surfaces: promising therapeutic targets for COVID-19 determined by systematically mutational analysis

Detalles Bibliográficos
Autores principales: Wang, Manni, Lan, Tianxia, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844801/
https://www.ncbi.nlm.nih.gov/pubmed/33514688
http://dx.doi.org/10.1038/s41392-021-00469-8
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author Wang, Manni
Lan, Tianxia
Wang, Wei
author_facet Wang, Manni
Lan, Tianxia
Wang, Wei
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spelling pubmed-78448012021-01-29 Constrained surfaces: promising therapeutic targets for COVID-19 determined by systematically mutational analysis Wang, Manni Lan, Tianxia Wang, Wei Signal Transduct Target Ther Research Highlight Nature Publishing Group UK 2021-01-29 /pmc/articles/PMC7844801/ /pubmed/33514688 http://dx.doi.org/10.1038/s41392-021-00469-8 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Highlight
Wang, Manni
Lan, Tianxia
Wang, Wei
Constrained surfaces: promising therapeutic targets for COVID-19 determined by systematically mutational analysis
title Constrained surfaces: promising therapeutic targets for COVID-19 determined by systematically mutational analysis
title_full Constrained surfaces: promising therapeutic targets for COVID-19 determined by systematically mutational analysis
title_fullStr Constrained surfaces: promising therapeutic targets for COVID-19 determined by systematically mutational analysis
title_full_unstemmed Constrained surfaces: promising therapeutic targets for COVID-19 determined by systematically mutational analysis
title_short Constrained surfaces: promising therapeutic targets for COVID-19 determined by systematically mutational analysis
title_sort constrained surfaces: promising therapeutic targets for covid-19 determined by systematically mutational analysis
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844801/
https://www.ncbi.nlm.nih.gov/pubmed/33514688
http://dx.doi.org/10.1038/s41392-021-00469-8
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