| Literature DB >> 35554915 |
Erica T Prates1,2, Michael R Garvin1,2, Piet Jones3, J Izaak Miller1,2, Kyle A Sullivan1,2, Ashley Cliff3, Joao Gabriel Felipe Machado Gazolla1,2, Manesh B Shah4, Angelica M Walker3, Matthew Lane3, Christopher T Rentsch5,6, Amy Justice6,7, Mirko Pavicic1,2, Jonathon Romero3, Daniel Jacobson8,9,10,11,12.
Abstract
The unprecedented scientific achievements in combating the COVID-19 pandemic reflect a global response informed by unprecedented access to data. We now have the ability to rapidly generate a diversity of information on an emerging pathogen and, by using high-performance computing and a systems biology approach, we can mine this wealth of information to understand the complexities of viral pathogenesis and contagion like never before. These efforts will aid in the development of vaccines, antiviral medications, and inform policymakers and clinicians. Here we detail computational protocols developed as SARS-CoV-2 began to spread across the globe. They include pathogen detection, comparative structural proteomics, evolutionary adaptation analysis via network and artificial intelligence methodologies, and multiomic integration. These protocols constitute a core framework on which to build a systems-level infrastructure that can be quickly brought to bear on future pathogens before they evolve into pandemic proportions.Entities:
Keywords: Antiviral; COVID-19; Multiomics; Pandemic; SARS-CoV-2; Systems Biology
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Year: 2022 PMID: 35554915 DOI: 10.1007/978-1-0716-2111-0_19
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745