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#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol

The International Journal of High Performance Computing Applications(2022)10.1177/10943420221128233Source: DataRank Database

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol is a research paper published in The International Journal of High Performance Computing Applications (2022). On theSindex it has a DataRank of 0. It has been cited 98 times.

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#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol · Freie Universität Berlin

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Enrichment:Funding (39 grants)OA: hybridTopics (33)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC)Annotations (1)SDGs (1)

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Authors (52)

Lorenzo Casalino ORCID,Fiona L. Kearns ORCID,Mia A. Rosenfeld ORCID,Nicholas Wauer ORCID,Surl-Hee Ahn ORCID

Live enrichment

PubMed:36647365 PMC:PMC9527558

Biotechnology and Biological Sciences Research Council

Grant: BB/V016768/1

Engineering and Physical Sciences Research Council

Grant: EP/I030395/1

Engineering and Physical Sciences Research Council

Grant: EP/L000253/1

Engineering and Physical Sciences Research Council

Grant: EP/M022609/1

Engineering and Physical Sciences Research Council

Grant: GR/R86119/01

NIGMS NIH HHS

Grant: R01 GM132826

Engineering and Physical Sciences Research Council

Grant: EP/M027546/1

Engineering and Physical Sciences Research Council

Grant: EP/R029407/2

National Science Foundation

Grant: MCB- 2032054

National Science Foundation

Grant: OAC-1818253

Biotechnology and Biological Sciences Research Council

Grant: BB/T017066/1

U.S. Department of Energy

Grant: DE-AC05-00OR22725

Biotechnology and Biological Sciences Research Council

Grant: 1274908

National Science Foundation

Grant: CHE-1801971

Engineering and Physical Sciences Research Council

Grant: EP/J010588/1

National Institutes of Health

Grant: P41-GM104601

NIGMS NIH HHS

Grant: R01 GM115805

National Science Foundation

Grant: TG-CHE060063

Biotechnology and Biological Sciences Research Council

Grant: BB/L01386X/1

Engineering and Physical Sciences Research Council

Grant: EP/E022197/1

National Institutes of Health

Grant: R01-GM132826

Engineering and Physical Sciences Research Council

Grant: EP/G002843/1

Engineering and Physical Sciences Research Council

Grant: EP/G042853/1

Engineering and Physical Sciences Research Council

Grant: EP/R029407/1

Biotechnology and Biological Sciences Research Council

Grant: BB/K016601/1

Engineering and Physical Sciences Research Council

Grant: EP/W013738/1

NIGMS NIH HHS

Grant: P41 GM104601

Biotechnology and Biological Sciences Research Council

Grant: BB/L018756/1

U.S. Department of Energy

Grant: DE-AC02-06CH11357

Engineering and Physical Sciences Research Council

Grant: EP/G007705/1

Engineering and Physical Sciences Research Council

Grant: EP/M015378/1

Engineering and Physical Sciences Research Council

Grant: EP/N024117/1

National Science Foundation

Grant: 1801971

NSF Center for Aerosol Impacts on Chemistry of the Environment

National Institutes of Health

Grant: 5P41GM104601-30

Center for Macromolecular Modeling and Bioinformatics

National Institutes of Health

Grant: 5R01GM115805-10

WESTPA: A high-performance framework for simulating at the frontiers of biology

National Institutes of Health

Grant: 5R01GM132826-03

A MULTISCALE APPROACH TO TARGET THE ACHILLES HEEL OF P53 CANCER MUTANTS

European Commission

Grant: 101021207

Predictive computational models for Enzyme Dynamics, Antimicrobial resistance, Catalysis and Thermoadaptation for Evolution and Design

National Science Foundation

Grant: 1818253

Computation for the Endless Frontier

National Science Foundation

Grant: 2032054

RAPID: Understanding the Effects of Glycosylation on Spike Vulnerabilities and the Host Range of SARS-CoV-2

hybridLicense: cc-by-nc

publisherhttps://doi.org/10.1177/10943420221128233

repositoryhttps://www.osti.gov/biblio/1890569

repositoryhttps://www.osti.gov/biblio/2469554

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9527558

Europe_PMChttps://europepmc.org/articles/PMC9527558

Fields of Study

03 medical and health sciences0303 health sciences

Keywords

Molecular dynamicsDELTAAerosolsAIMultiscale SimulationGpuHpcDeep LearningWeighted EnsembleCovid-19Sars-cov-2Computational Virology570610530ArticleTheoretical Computer ScienceVaccine RelatedBiodefenseLungmolecular dynamics, deep learning, multiscale simulation, weighted ensemble, computational virology, SARS-CoV-2, aerosols, COVID-19, HPC, AI, GPU, DeltaSpecial Issue PapersPreventionEmerging Infectious DiseasesInfectious DiseasesGood Health and Well BeingHardware and ArchitecturePneumonia & InfluenzaInfectionDistributed ComputingSoftware

Sustainable Development Goals

SDG 3: 3. Good health

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol

10.17169/refubium-37822Freie Universität Berlin

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol

FAIR Checklist

Authors (52)

Funding (39 grants)

Open Access

Topics

Linked Datasets (1)

Annotations (Europe PMC)