https://socictopen.socict.org/files/original/9cc9d42944395ad22da3eb0a4358df76.pdf 14c927d8d0c4bc46238d2184bfaca244 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource In silico analysis of SARS-CoV-2 spike glycoprotein and insights into antibody binding Creator An entity primarily responsible for making the resource Victor Padilla-Sanchez Description An account of the resource Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, China in December 2019. Since then, COVID-19, the disease caused by SARS-CoV-2, has become a rapidly spreading pandemic that has reached most countries in the world. So far, there are no vaccines or therapeutics to fight this virus. Here, I present an in silico analysis of the virus spike glycoprotein (recently determined at atomic resolution) and provide insights into how antibodies against the 2002 virus SARS-CoV might be modified to neutralize SARS-CoV-2. I ran docking experiments with Rosetta Dock to determine which substitutions in the 80R and m396 antibodies might improve the binding of these to SARS-CoV-2 and used molecular visualization and analysis software, including UCSF Chimera and Rosetta Dock, as well as other bioinformatics tools, including SWISS-MODEL. Supercomputers, including Bridges Large, Stampede and Frontera, were used for macromolecular assemblies and large scale analysis and visualization. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource immunology, SARS-CoV-2, COVID-19, computational bi Identifier An unambiguous reference to the resource within a given context DOI: 10.3897/rio.6.e55281 Source A related resource from which the described resource is derived Research Ideas and Outcomes Publisher An entity responsible for making the resource available Pensoft Publishers Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science