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Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity

Briefings in Bioinformatics(2023)10.1093/bib/bbad504Source: DataRank Database

Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity is a research paper published in Briefings in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 15 times.

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Open Access15 citations

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Enrichment:Funding (4 grants)Impact (FWCI 1.37)OA: hybridTopics (37)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

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Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (13)

Joseph A. Morrone ORCID,Seung-Gu Kang ORCID,Leili Zhang ORCID,Lijun Lang ORCID,Diego Chowell ORCID

Live enrichment

PubMed:38233090 PMC:PMC10793977 OpenAlex:https://openalex.org/W4390939503

National Institutes of Health

Grant: R01 CA205426

National Institutes of Health

Grant: R35 CA232097

National Institutes of Health

Grant: 1R01CA205426-01A1

Elucidating genetics of response to immune checkpoint blockade in lung cancer

National Institutes of Health

Grant: 3R35CA232097-04S1

TOWARDS PRECISION IMMUNO-ONCOLOGY: UNRAVELING THE GENOMIC DETERMINANTS AND MECHANISMS UNDERLYING IMMUNOTHERAPY EFFICACY AND RESISTANCE

FWCI

1.37

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

hybridLicense: cc-by

journalhttps://academic.oup.com/bib/article-pdf/25/1/bbad504/56149016/bbad504.pdf

publisherhttps://academic.oup.com/bib/article-pdf/25/1/bbad504/56149016/bbad504.pdf

journalhttps://doi.org/10.1093/bib/bbad504

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38233090

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10793977

Fields of Study

T-cell and B-cell Immunologyvaccines and immunoinformatics approachesImmunotherapy and Immune Responses0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Artificial IntelligenceHumansPeptidesProtein BindingHistocompatibility Antigens Class IHLA-A2 AntigenMolecular Dynamics Simulation

Keywords

ImmunogenicityMajor histocompatibility complexHuman leukocyte antigenComputational biologyMHC class IPeptideComputer scienceArtificial intelligenceBiologyAntigenImmunologyBiochemistryMolecular dynamicsCancer ImmunotherapyMarkov ModelsGraph ConvolutionsMhc–peptide ComplexHLA-A2 AntigenHistocompatibility Antigens Class IProblem Solving ProtocolHumansMolecular Dynamics SimulationPeptidesProtein Binding

Sustainable Development Goals

SDG 0: Good health and well-being

Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity

FAIR Checklist

Authors (13)

Funding (4 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)