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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/3484| A Community Letter Regarding Sharing Bimolecular Simulation Data for COVID-19 | |
| Amaro Rommie E. Mulholland Adrian J. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| 10.1021/acs.jcim.0c00319 | |
| There is an urgent need to share our methods, models, and results openly and quickly to test findings, ensure reproducibility, test significance, eliminate dead-ends, and accelerate discovery. Sharing of data for COVID-19 applications will help connect scientists across the global biomolecular simulation community, and also improve connection and communication between simulation and experimental and clinical data and investigators. We, as a community, commit to the following principles and offer our support to others already working on open data efforts in the hope that others working on COVID-19 in biomolecular simulation and other areas will adopt similar best practices. | |
| Journal of Chemical Information and Modeling | |
| 2020 | |
| Artículo | |
| https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.0c00319 | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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