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Extraction of chemical-protein interactions from the literature using neural networks and narrow instance representation
2019
Database: The Journal of Biological Databases and Curation
The scientific literature contains large amounts of information on genes, proteins, chemicals and their interactions. Extraction and integration of this information in curated knowledge bases help researchers support their experimental results, leading to new hypotheses and discoveries. This is especially relevant for precision medicine, which aims to understand the individual variability across patient groups in order to select the most appropriate treatments. Methods for improved retrieval
doi:10.1093/database/baz095
pmid:31622463
pmcid:PMC6796919
fatcat:3l6gyodd65b7joh6t3vzrny5li