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Dostęp zamkniętyComputational methods and strategies for combating COVID-19
| dc.abstract.en | The special issue collects the original research papers on computational methods and strategies for combating the COVID-19 pandemic. We proposed to cover the theoretical studies related to computational drug discovery, drug repurposing and related therapeutic aspects of COVID-19, such as computational techniques for detecting COVID-19, vaccination and treatment strategies, and novel forecasting models for SARS-COV-2 providing a deeper understanding of issues related to comorbidity etc. We also invited contributions on virus genome phylogenetic studies identifying the novel mutations influencing the spread of the virus, detailed biophysical prediction of binding affinities allowing for the tissue specificity of virus-host protein-protein interactions, and the description of the universe of protein-protein host-pathogen interactions. |
| dc.affiliation | Uniwersytet Warszawski |
| dc.contributor.author | Plewczyński, Dariusz |
| dc.contributor.author | Basu, Subhadip |
| dc.date.accessioned | 2024-01-24T19:52:36Z |
| dc.date.available | 2024-01-24T19:52:36Z |
| dc.date.issued | 2022 |
| dc.description.finance | Publikacja bezkosztowa |
| dc.description.volume | 206 |
| dc.identifier.doi | 10.1016/J.YMETH.2022.08.011 |
| dc.identifier.issn | 1046-2023 |
| dc.identifier.uri | https://repozytorium.uw.edu.pl//handle/item/103473 |
| dc.identifier.weblink | https://api.elsevier.com/content/article/PII:S1046202322001943?httpAccept=text/xml |
| dc.language | eng |
| dc.pbn.affiliation | biological sciences |
| dc.relation.ispartof | Methods |
| dc.relation.pages | 99-100 |
| dc.rights | ClosedAccess |
| dc.sciencecloud | nosend |
| dc.title | Computational methods and strategies for combating COVID-19 |
| dc.type | JournalArticle |
| dspace.entity.type | Publication |