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Jointly modeling deep mutational scans identifies shifted mutational effects among SARS-CoV-2 spike homologs

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.31.551037Source: DataRank Database

Jointly modeling deep mutational scans identifies shifted mutational effects among SARS-CoV-2 spike homologs is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 25 times.

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Open Access25 citations

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Enrichment:Funding (5 grants)OA: greenTopics (17)IDs (PubMed, OpenAlex)Annotations (3)

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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 (6)

Jared Galloway ORCID,Bernadeta Dadonaite ORCID,Jesse D. Bloom ORCID,Frederick A. Matsen ORCID,William S. DeWitt ORCID

Live enrichment

PubMed:37577604 OpenAlex:https://openalex.org/W4385479203

NCI NIH HHS

Grant: P30 CA015704

NIH HHS

Grant: S10 OD028685

NIAID NIH HHS

Grant: R01 AI146028

NIAID NIH HHS

Grant: R01 AI162611

NIAID NIH HHS

Grant: R01 AI141707

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/08/02/2023.07.31.551037.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.07.31.551037

repositoryhttps://doi.org/10.1101/2023.07.31.551037

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37577604

Fields of Study

SARS-CoV-2 and COVID-19 ResearchSARS-CoV-2 detection and testingCell Image Analysis Techniques

Keywords

MutationComputational biologyBiologyGeneticsSpike (software development)Homologous chromosomeGeneSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PhenotypeCoronavirus disease 2019 (COVID-19)Computer scienceDeep Mutational ScanningGlobal EpistasisProtein Evolution

Jointly modeling deep mutational scans identifies shifted mutational effects among SARS-CoV-2 spike homologs

FAIR Checklist

Authors (6)

Funding (5 grants)

Open Access

Topics

Annotations (Europe PMC)