emind

is a Data Source.

eMIND is a University of Delaware and Protein Information Resource text-mining workflow for extracting protein-coding variant impacts in Alzheimer's disease and related dementias from the biomedical literature.

Domains

biomedical, genomics

License

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Homepage

emind

Repository

Unknown

Infores ID

Unknown

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
emind.site eMIND Web Interface * GraphicalInterface http Web interface for browsing eMIND text...
emind.json eMIND JSON Export eMIND_iTextmine.json.gz (919.4 KB) Product json Gzipped JSON export of the eMIND text...
From other Resources
ID Name URL Category Format Relation Description
prokn.emind.protein.has_variant.variant.edges ProKN eMIND Variant Edges eMIND.Protein.HAS_VARIANT.Variant.edges.csv (58.7 KB) GraphProduct csv had primary source eMIND protein variant edges
prokn.emind.variant.associated_with.disease.edges ProKN eMIND Variant Disease Edges eMIND.Variant.ASSOCIATED_WITH.Disease.edges.csv (1.6 KB) GraphProduct csv had primary source eMIND variant associated with disease...
prokn.emind.variant.impact.disease.edges ProKN eMIND Variant Impact Disease Edges eMIND.Variant.IMPACT.Disease.edges.csv (68.0 KB) GraphProduct csv had primary source eMIND variant impact on disease edges
prokn.emind.variant.impact.protein.edges ProKN eMIND Variant Impact Protein Edges eMIND.Variant.IMPACT.Protein.edges.csv (1.3 KB) GraphProduct csv had primary source eMIND variant impact on protein edges

Details

eMIND

eMIND is a deep learning-based text-mining workflow for detecting and organizing variant-impact evidence from the Alzheimer’s disease and related dementias literature. The public site is hosted by the University of Delaware and states that the workflow was developed with support from an NIA supplement to UniProt focused on improving functional genomics data access for AD and dementia-related protein research communities.

The current public interface provides a browseable literature view and a direct JSON export. Public project documentation describes a pipeline that combines PubTator entity extraction, BERT-based impact classification, typed impact assignment, ontology mapping, and post-processing into a final structured output used to expand the UniProtKB computationally mapped bibliography.

Access

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Created: May 20, 2026 | Last modified: May 21, 2026