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ACE Configurator for ELISpot (ACE): Optimizing Combinatorial Design of Pooled ELISpot Assays with an Epitope Similarity Model

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.02.554864Source: DataRank Database

ACE Configurator for ELISpot (ACE): Optimizing Combinatorial Design of Pooled ELISpot Assays with an Epitope Similarity Model is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (16)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (5)

Dhuvarakesh Karthikeyan ORCID,Misha Fini ORCID,Benjamin G. Vincent ORCID,Alex Rubinsteyn ORCID,Jin Seok Lee ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W4386460605

National Science Foundation

Grant: 2040435

Graduate Research Fellowship Program (GRFP)

National Institutes of Health

Grant: 5T32GM008570-17

Molecular and Cellular Biophysics Training Program

National Institutes of Health

Grant: 5R37CA247676-03

Gvl mHA Specific T Cell Responses Prevent AML Relapse Following Allogeneic Stem Cell Transplantation

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/09/04/2023.09.02.554864.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.09.02.554864

repositoryhttps://doi.org/10.1101/2023.09.02.554864

https://doi.org/10.1093/bib/bbad495

Fields of Study

vaccines and immunoinformatics approachesImmunotherapy and Immune ResponsesMonoclonal and Polyclonal Antibodies Research

Keywords

ELISPOTComputer scienceEpitopeComputational biologyHeuristicsAntigenImmunologyBiologyEpitopesBenchmarkingProblem Solving ProtocolImmunosorbentsPeptides

Sustainable Development Goals

SDG 3: 3. Good health