DigChem: Identification of disease-genechemical relationships from Medline abstracts

May 17, 2019

Chemicals interact with genes in the process of disease development and treatment. Although much biomedical research has been performed to understand relationships among genes, chemicals, and diseases, which have been reported in biomedical articles in Medline, there are few studies that extract disease–gene–chemical relationships from biomedical literature at a PubMed scale. In this study, we propose a deep learning model based on bidirectional long short-term memory to identify the evidence sentences of relationships among genes, chemicals, and diseases from Medline abstracts.

Spotlight

Arvinas

Arvinas is a private biopharmaceutical company focused on developing first-in-class protein degradation therapeutics for cancers and other difficult-to-treat diseases. Our proprietary PROTACTM, or Proteolysis-Targeting Chimera, works by inducing the cell’s own ubiquitin-proteasome system to target, degrade and remove disease-causing proteins.

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Spotlight

Arvinas

Arvinas is a private biopharmaceutical company focused on developing first-in-class protein degradation therapeutics for cancers and other difficult-to-treat diseases. Our proprietary PROTACTM, or Proteolysis-Targeting Chimera, works by inducing the cell’s own ubiquitin-proteasome system to target, degrade and remove disease-causing proteins.

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