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Deep mutational scanning and machine learning uncover antimicrobial peptide features driving membrane selectivity

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.28.551017Source: DataRank Database

Deep mutational scanning and machine learning uncover antimicrobial peptide features driving membrane selectivity is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

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0DataRank · unranked

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Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: greenTopics (15)IDs (PubMed, OpenAlex)

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Accessible (1/2)

Open Access

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Reusable (0/3)

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Authors (4)

Luiz Carlos Vieira ORCID,Claus O. Wilke ORCID,Bryan W. Davies ORCID,Justin R. Randall ORCID

Live enrichment

PubMed:37547010 OpenAlex:https://openalex.org/W4385378628

CLC NIH HHS

Grant: C0000008

NIAID NIH HHS

Grant: R01 AI125337

NIAID NIH HHS

Grant: R01 AI148419

NIAID NIH HHS

Grant: R21 AI159203

greenLicense: cc-by-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/09/10/2023.07.28.551017.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.07.28.551017

repositoryhttps://doi.org/10.1101/2023.07.28.551017

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37547010

Fields of Study

Antimicrobial Peptides and ActivitiesBiochemical and Structural Characterizationvaccines and immunoinformatics approaches

Keywords

Antimicrobial peptidesPeptideComputational biologyAntimicrobialFunction (biology)BiologyPeptide sequenceSequence (biology)BiochemistryGeneGeneticsMicrobiology