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

TUnA: an uncertainty-aware transformer model for sequence-based protein–protein interaction prediction

Briefings in Bioinformatics(2024)10.1093/bib/bbae359Source: DataRank Database

TUnA: an uncertainty-aware transformer model for sequence-based protein–protein interaction prediction is a research paper published in Briefings in Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 48 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access48 citations

Download PDF

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 (4 grants)Impact (FWCI 12.37)OA: goldTopics (32)IDs (PubMed, PMC, OpenAlex)SDGs (2)

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 (4)

Jonathan Parkinson ORCID,Cong Liu ORCID,Wei Wang ORCID,Young Su Ko ORCID

Live enrichment

PubMed:39051117 PMC:PMC11269822 OpenAlex:https://openalex.org/W4400984795

National Institutes of Health

Grant: R01AI150282

National Institutes of Health

Grant: R21AI158114

National Institutes of Health

Grant: 1R21AI158114-01

Designing neutralization antibodies against Sars-Cov-2

National Institutes of Health

Grant: 5R01AI150282-05

Systems-level identification of key regulators deciding immune cell state

FWCI

12.37

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

goldLicense: cc-by-nc

journalhttps://academic.oup.com/bib/article-pdf/25/5/bbae359/58645950/bbae359.pdf

publisherhttps://academic.oup.com/bib/article-pdf/25/5/bbae359/58645950/bbae359.pdf

journalhttps://doi.org/10.1093/bib/bbae359

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39051117

repositoryhttps://escholarship.org/uc/item/9q42r5vh

Fields of Study

Computational Drug Discovery MethodsProtein Structure and DynamicsBioinformatics and Genomic Networks0206 medical engineering02 engineering and technology

MeSH Terms

Deep LearningAlgorithmsProteinsComputational BiologyProtein Interaction MappingUncertainty

Keywords

TunaComputer scienceTransformerArtificial intelligenceMachine learningDeep learningFalse positive paradoxGaussian processGaussianFisheryBiologyEngineeringProtein–protein Interaction PredictionUncertainty AwarenessUncertaintyComputational BiologyProteins004Protein Interaction MappingProblem Solving ProtocolAlgorithms

Sustainable Development Goals

SDG 4: 4. EducationSDG 14: 14. Life underwater