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MegaEye: Applying multiple machine learning approaches to identify oral compounds with ocular bioactivity

Artificial Intelligence in the Life Sciences(2025)10.1016/j.ailsci.2025.100143Source: DataRank Database

MegaEye: Applying multiple machine learning approaches to identify oral compounds with ocular bioactivity is a research paper published in Artificial Intelligence in the Life Sciences (2025). 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)Impact (FWCI 0.00)OA: goldTopics (13)IDs (PubMed, PMC, OpenAlex)Annotations (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)

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Authors (8)

Scott H. Greenwald,Patricia A. Vignaux ORCID,Thomas R. Lane ORCID,Joshua S. Harris ORCID,Mayssa Attar

Live enrichment

PubMed:41531456 PMC:PMC12795581 OpenAlex:https://openalex.org/W4414301253

NIGMS NIH HHS

Grant: R42 GM131433

NIEHS NIH HHS

Grant: R44 ES031038

NIGMS NIH HHS

Grant: R44 GM122196

FWCI

0.00

Citation Percentile

0.2%

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.ailsci.2025.100143

publisherhttps://doi.org/10.1016/j.ailsci.2025.100143

publisherhttps://api.elsevier.com/content/article/PII:S2667318525000194?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2667318525000194?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41531456

Fields of Study

Computational Drug Discovery MethodsFlavonoids in Medical ResearchGlaucoma and retinal disorders

Keywords

Deep learningComputational modelTraining setMolecular descriptorOphthalmologydrug discoveryMachine LearningOral DeliveryOcularSmall Molecule

MegaEye: Applying multiple machine learning approaches to identify oral compounds with ocular bioactivity

FAIR Checklist

Authors (8)

Funding (3 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)