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10.1007/978-1-0716-2111-0_19 http://scihub22266oqcxt.onion/10.1007/978-1-0716-2111-0_19 35554915!ä!35554915 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Methods+Mol+Biol 2022 ; 2452 (ä): 317-351 Nephropedia Template TP {{tp|p=35554915|t=2022. Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach |pdf=|usr=}}{{35554915}} gab.com Text Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach JO: Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=35554915 #FOAvip 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. Twit Text FOAVip Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach ????Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=35554915 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35554915 #FOAvip English Wikipedia <ref>{{Cite pmid|35554915}}</ref> Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach #MMPMID35554915 Prates ET; Garvin MR; Jones P; Miller JI; Sullivan KA; Cliff A; Gazolla JGFM; Shah MB; Walker AM; Lane M; Rentsch CT; Justice A; Pavicic M; Romero J; Jacobson D Methods Mol Biol 2022[]; 2452 (ä): 317-351 PMID35554915show ga 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. |*COVID-19 Drug Treatment[MESH] |*SARS-CoV-2[MESH] |Antiviral Agents/pharmacology/therapeutic use[MESH] |Artificial Intelligence[MESH] |Humans[MESH] |Pandemics/prevention & control[MESH]Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach (epmc).pdf DeepDyve Pubget Overpricing