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SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome

Maxwell I. Zimmerman, Justin R. Porter, Michael D. Ward, Sukrit Singh, Neha Vithani, Artur Meller, Upasana L. Mallimadugula, Catherine E. Kuhn, Jonathan Borowsky, Rafal Wiewiora, Matthew F. D. Hurley, Aoife M. Harbison, Carl A. Fogarty, Joseph E. Coffland, Elisa Fadda, Vincent A. Voelz, John D. Chodera, Gregory R. Bowman

2021Nature Chemistry301 citationsDOIOpen Access PDF

Topics & Concepts

ProteomeComputational biologyChemistryFolding (DSP implementation)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Immune escapeMolecular dynamicsEvasion (ethics)Protein foldingImmune systemCoronavirus disease 2019 (COVID-19)BiologyInfectious disease (medical specialty)GeneticsElectrical engineeringMedicineEngineeringDiseaseComputational chemistryPathologyBiochemistryvaccines and immunoinformatics approachesSARS-CoV-2 and COVID-19 ResearchBacteriophages and microbial interactions
SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome | Litcius