Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach.

Erica T Prates; Michael R Garvin; Piet Jones; J Izaak Miller; Kyle A Sullivan; Ashley Cliff; Joao Gabriel Felipe Machado Gazolla; Manesh B Shah; Angelica M Walker; Matthew Lane; +5 more... Christopher T Rentsch ORCID logo; Amy Justice; Mirko Pavicic; Jonathon Romero; Daniel Jacobson; (2022) Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach. In: Chu, Justin Jang Hann; Ahidjo, Bintou Ahmadou; Mok, Chee Ken, (eds.) SARS-CoV-2: Methods and Protocols. Methods in Molecular Biology, 2452 . Humana, New York, NY., pp. 317-351. ISBN 978-1-0716-2111-0 DOI: 10.1007/978-1-0716-2111-0_19
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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.

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