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Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.28.428521Source: DataRank Database

Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2 is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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

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Findable (1/2)

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Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Eric R. Gamazon ORCID,Bo Wang ORCID

Live enrichment

PubMed:33532766 OpenAlex:https://openalex.org/W3121754799

National Institutes of Health

Grant: 5R56AG068026-02

Advancing drug repositioning and development for Alzheimer's Disease using functional genomics and computational phenomics

National Institutes of Health

Grant: 1F99HG013039-01

Leveraging natural and engineered genetic barcodes from single cell RNA sequencing to investigate cellular evolution, clonal expansion, and associations between cellular genotypes and phenotypes

National Institutes of Health

Grant: 5R35HG010718-02

Functional Genomics: A Phenome-wide Survey

National Institutes of Health

Grant: 5R01HG011138-05

Advancing Multi-Omics and Electronic Health Records Computational Methodologies

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/02/08/2021.01.28.428521.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.01.28.428521

repositoryhttps://doi.org/10.1101/2021.01.28.428521

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33532766

Fields of Study

Computational Drug Discovery MethodsSARS-CoV-2 and COVID-19 ResearchCell Image Analysis Techniques0206 medical engineering02 engineering and technology

Keywords

PhenotypeConvolutional neural networkSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Computational biology2019-20 coronavirus outbreakBiologyGeneticsComputer scienceArtificial intelligenceVirologyMedicineGeneInternal medicineComputational intelligenceComputational molecular modelingScienceQHealth sciencesFOS: Health sciencesArticle

Sustainable Development Goals

SDG 3: 3. Good health

Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2

FAIR Checklist

Authors (2)

Funding (4 grants)

Open Access

Topics

Annotations (Europe PMC)