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Prediction and analysis of key protein structures of 2019-nCoV
Aim: The purpose of this study was to predict and analyze the structure and function of 2019-novel Coronavirus (nCoV) key proteins. Materials & methods: We obtained the structure and sequence of proteins from related databases and studied them through multiple sequence alignment, homology modeli...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Medicine Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236793/ http://dx.doi.org/10.2217/fvl-2020-0020 |
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author | Li, Qihao Peng, Wen Ou, Yu |
author_facet | Li, Qihao Peng, Wen Ou, Yu |
author_sort | Li, Qihao |
collection | PubMed |
description | Aim: The purpose of this study was to predict and analyze the structure and function of 2019-novel Coronavirus (nCoV) key proteins. Materials & methods: We obtained the structure and sequence of proteins from related databases and studied them through multiple sequence alignment, homology modeling, sequence analysis, virtual screening, reverse mutation, protein structure overlap and surface property analysis. Results & conclusion: We found no significant changes in envelope protein, membrane protein, nucleocapsid protein and key proteases in open reading frame 1ab, and predicted results of proteins and performed molecular dynamics simulations. Based on the surface properties of spike protein and docking results with angiotensin-converting enzyme 2, we believe that the binding ability of spike protein to angiotensin-converting enzyme 2 may be similar to SARS. These studies will help us in fighting 2019-nCoV. |
format | Online Article Text |
id | pubmed-7236793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Future Medicine Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-72367932020-05-19 Prediction and analysis of key protein structures of 2019-nCoV Li, Qihao Peng, Wen Ou, Yu Future Virol Short Communication Aim: The purpose of this study was to predict and analyze the structure and function of 2019-novel Coronavirus (nCoV) key proteins. Materials & methods: We obtained the structure and sequence of proteins from related databases and studied them through multiple sequence alignment, homology modeling, sequence analysis, virtual screening, reverse mutation, protein structure overlap and surface property analysis. Results & conclusion: We found no significant changes in envelope protein, membrane protein, nucleocapsid protein and key proteases in open reading frame 1ab, and predicted results of proteins and performed molecular dynamics simulations. Based on the surface properties of spike protein and docking results with angiotensin-converting enzyme 2, we believe that the binding ability of spike protein to angiotensin-converting enzyme 2 may be similar to SARS. These studies will help us in fighting 2019-nCoV. Future Medicine Ltd 2020-05-12 2020-04 /pmc/articles/PMC7236793/ http://dx.doi.org/10.2217/fvl-2020-0020 Text en © 2020 Future Medicine Ltd This work is licensed under the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Short Communication Li, Qihao Peng, Wen Ou, Yu Prediction and analysis of key protein structures of 2019-nCoV |
title | Prediction and analysis of key protein structures of 2019-nCoV |
title_full | Prediction and analysis of key protein structures of 2019-nCoV |
title_fullStr | Prediction and analysis of key protein structures of 2019-nCoV |
title_full_unstemmed | Prediction and analysis of key protein structures of 2019-nCoV |
title_short | Prediction and analysis of key protein structures of 2019-nCoV |
title_sort | prediction and analysis of key protein structures of 2019-ncov |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236793/ http://dx.doi.org/10.2217/fvl-2020-0020 |
work_keys_str_mv | AT liqihao predictionandanalysisofkeyproteinstructuresof2019ncov AT pengwen predictionandanalysisofkeyproteinstructuresof2019ncov AT ouyu predictionandanalysisofkeyproteinstructuresof2019ncov |