FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text mining.

ABSTRACT:

Background

For automated reading of scientific publications to extract useful information about molecular mechanisms it is critical that genes, proteins and other entities be correctly associated with uniform identifiers, a process known as named entity linking or "grounding." Correct grounding is essential for resolving relationships among mined information, curated interaction databases, and biological datasets. The accuracy of this process is largely dependent on the availability of machine-readable resources associating synonyms and abbreviations commonly found in biomedical literature with uniform identifiers.

Results

In a task involving automated reading of ∼215,000 articles using the REACH event extraction software we found that grounding was disproportionately inaccu

SUBMITTER: Bachman JA 

PROVIDER: S-EPMC6022344 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature