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

A deep learning framework for elucidating whole-genome chemical interaction space

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.08.332346Source: DataRank Database

A deep learning framework for elucidating whole-genome chemical interaction space is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). 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

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 (2 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)SDGs (1)

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 (6)

Hansaim Lim ORCID,Kyra Alyssa Abbu ORCID,Yue Qiu ORCID,Ruth Nussinov ORCID,Lei Xie ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W3091938439

National Institutes of Health

Grant: 2R01GM122845-05

AI-powered chemical proteomics for drug discovery targeting orphan proteins

National Institutes of Health

Grant: 5R01AI057555-06

TpI2 Kinase in Macrophage Activation by Microbes

greenLicense: https://www.biorxiv.org/about/FAQ#license

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2020/10/09/2020.10.08.332346.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.10.08.332346

repositoryhttps://doi.org/10.1101/2020.10.08.332346

https://dx.doi.org/10.1101/2020.10.08.332346

Fields of Study

Computational Drug Discovery MethodsMachine Learning in BioinformaticsProtein Structure and Dynamics0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

InterpretabilityGenomeComputational biologyBiomedicineENCODEComputer scienceBenchmark (surveying)Artificial intelligenceHuman genomeBiologyBioinformaticsGeneticsGeographyGene

Sustainable Development Goals

SDG 0: Quality Education