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Predictive in silico binding algorithms reveal HLA specificities and autoallergen peptides associated with atopic dermatitis

Archives of Dermatological Research(2020)10.1007/s00403-020-02059-0Source: DataRank Database

Predictive in silico binding algorithms reveal HLA specificities and autoallergen peptides associated with atopic dermatitis is a research paper published in Archives of Dermatological Research (2020). On theSindex it has a DataRank of 0. It has been cited 8 times.

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Open Access8 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (30)IDs (PubMed, PMC)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 (3)

David J. Margolis ORCID,Dimitrios Monos,Jan Gong

Live enrichment

PubMed:32152724 PMC:PMC7483218

National Institutes of Health

Grant: R01-AR070873

NIAMS NIH HHS

Grant: R01 AR070873

National Institutes of Health

Grant: 1R01AR070873-01A1

Atopic Dermatitis and High Resolution HLA

greenLicense: Springer TDM

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7483218

publisherhttp://link.springer.com/content/pdf/10.1007/s00403-020-02059-0.pdf

publisherhttp://link.springer.com/article/10.1007/s00403-020-02059-0/fulltext.html

https://doi.org/10.1007/s00403-020-02059-0

https://europepmc.org/articles/pmc7483218?pdf=render

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

HumansDermatitis, AtopicPeptidesAutoantigensFeasibility StudiesEpitope MappingProtein BindingAlgorithmsModels, ImmunologicalComputer SimulationHLA-DRB1 ChainsProof of Concept Study

Keywords

Atopic DermatitisHla AllelesAutoreactivityModels, ImmunologicalAutoantigensProof of Concept StudyDermatitis, AtopicFeasibility StudiesHumansComputer SimulationPeptidesAlgorithmsEpitope MappingHLA-DRB1 ChainsProtein Binding

Sustainable Development Goals

SDG 3: 3. Good health