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Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576191/ https://www.ncbi.nlm.nih.gov/pubmed/36262477 http://dx.doi.org/10.3389/fmolb.2022.1018149 |
| _version_ | 1784811475073761280 |
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| author | Hu, Kaifeng Lee, Woonghee Montelione, Gaetano T. Sgourakis, Nikolaos G. Vögeli, Beat |
| author_facet | Hu, Kaifeng Lee, Woonghee Montelione, Gaetano T. Sgourakis, Nikolaos G. Vögeli, Beat |
| author_sort | Hu, Kaifeng |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9576191 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-95761912022-10-18 Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships Hu, Kaifeng Lee, Woonghee Montelione, Gaetano T. Sgourakis, Nikolaos G. Vögeli, Beat Front Mol Biosci Molecular Biosciences Frontiers Media S.A. 2022-10-03 /pmc/articles/PMC9576191/ /pubmed/36262477 http://dx.doi.org/10.3389/fmolb.2022.1018149 Text en Copyright © 2022 Hu, Lee, Montelione, Sgourakis and Vögeli. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| spellingShingle | Molecular Biosciences Hu, Kaifeng Lee, Woonghee Montelione, Gaetano T. Sgourakis, Nikolaos G. Vögeli, Beat Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships |
| title | Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships |
| title_full | Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships |
| title_fullStr | Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships |
| title_full_unstemmed | Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships |
| title_short | Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships |
| title_sort | editorial: computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships |
| topic | Molecular Biosciences |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576191/ https://www.ncbi.nlm.nih.gov/pubmed/36262477 http://dx.doi.org/10.3389/fmolb.2022.1018149 |
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