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PAbFold: Linear Antibody Epitope Prediction using AlphaFold2

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.19.590298Source: DataRank Database

PAbFold: Linear Antibody Epitope Prediction using AlphaFold2 is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (13)IDs (PubMed, OpenAlex)SDGs (2)

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Authors (6)

James S. Terry ORCID,Ning Zhao ORCID,Timothy J. Stasevich ORCID,Christopher D. Snow ORCID,Brian J. Geiss ORCID

Live enrichment

PubMed:38659833 OpenAlex:https://openalex.org/W4394978153

National Institutes of Health

Grant: 1R01AI168459-01A1

Multiplexed imaging of viral protein processing and assembly in live cells

National Institutes of Health

Grant: 1R56AI155897-01A1

Multiplexed imaging of viral protein processing and assembly in live cells

National Institutes of Health

Grant: 5R01AI132668-03

Mechanism of Flavivirus RNA Capping

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/04/19/2024.04.19.590298.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.04.19.590298

repositoryhttps://doi.org/10.1101/2024.04.19.590298

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38659833

Fields of Study

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approachesGlycosylation and Glycoproteins Research0206 medical engineering02 engineering and technology

Keywords

EpitopeAntibodyLinear epitopeComputational biologyComputer scienceBiologyImmunologyArticle

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Decent work and economic growth