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Biophysical principles predict fitness of SARS-CoV-2 variants

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.23.549087Source: DataRank Database

Biophysical principles predict fitness of SARS-CoV-2 variants is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: greenTopics (26)IDs (PubMed, OpenAlex)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Marian Huot ORCID,Vaibhav Mohanty ORCID,Eugene I. Shakhnovich ORCID,D. I. C. Wang ORCID

Live enrichment

PubMed:37577536 OpenAlex:https://openalex.org/W4385188705

National Institutes of Health

Grant: 3T32GM144273-03S1

Medical Scientist Training Program

National Institutes of Health

Grant: 5R35GM139571-02

Biophysical foundations of evolutionary dynamics

NIGMS NIH HHS

Grant: R35 GM139571

NIGMS NIH HHS

Grant: T32 GM144273

greenLicense: cc-by-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/07/31/2023.07.23.549087.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.07.23.549087

repositoryhttps://doi.org/10.1101/2023.07.23.549087

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37577536

Fields of Study

SARS-CoV-2 and COVID-19 ResearchBacillus and Francisella bacterial researchSARS-CoV-2 detection and testing0206 medical engineering02 engineering and technology

Keywords

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSars virusComputational biologyBiologyVirologyMedicineInternal medicineInfectious disease (medical specialty)Machine LearningSARS-CoV-2Physical SciencesSpike Glycoprotein, CoronavirusMutationHumansCOVID-19ThermodynamicsAngiotensin-Converting Enzyme 2ArticleProtein Binding

Sustainable Development Goals

SDG 0: Good health and well-being