Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

A structure-guided approach to predict MHC-I restriction of T cell receptors for public antigens

Structure(2025)10.1016/j.str.2025.06.011Source: DataRank Database

A structure-guided approach to predict MHC-I restriction of T cell receptors for public antigens is a research paper published in Structure (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

Free full text

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (11 grants)Impact (FWCI 1.19)OA: greenTopics (32)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (2)

Nikolaos G. Sgourakis ORCID,S. K. Gupta ORCID

Live enrichment

PubMed:40683256 OpenAlex:https://openalex.org/W4412521069

National Cancer Institute Division of Cancer Epidemiology and Genetics

Grant: CA278687-01

National Cancer Institute Division of Cancer Epidemiology and Genetics

Grant: OT2CA297575

Cancer Research UK

Grant: CGCATF-2021/100002

Cancer Research UK

Grant: CGCATF-2023/100004

National Institutes of Health

Grant: U01DK112217

National Institutes of Health

Grant: T32 GM148377

National Institute of Allergy and Infectious Diseases Division of Intramural Research

Grant: R01AI143997

NIH National Institute of General Medical Sciences

Grant: R35GM125034

NCI NIH HHS

Grant: OT2 CA278687

The Mark Foundation for Cancer Research

National Cancer Institute

FWCI

1.19

Citation Percentile

0.8%

Citation Trend

2025

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12313147/

publisherhttps://api.elsevier.com/content/article/PII:S096921262500245X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S096921262500245X?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.str.2025.06.011

Fields of Study

vaccines and immunoinformatics approachesImmunotherapy and Immune ResponsesT-cell and B-cell Immunology

MeSH Terms

AllelesBinding SitesCross ReactionsHumansModels, MolecularPeptidesProtein BindingReceptors, Antigen, T-CellHistocompatibility Antigens Class I

Keywords

T-cell receptorMajor histocompatibility complexHuman leukocyte antigenBiologyComputational biologyContext (archaeology)T cellAntigenReceptorMHC restrictionImmunologyCell biologyMHC class IGeneticsImmune systemT cell receptorHuman leucocyte antigenAlloreactivityProtein InterfaceReceptor Cross-reactivity