BioLit

BioLit extracts semantic metadata from full-text open-access articles in PubMed Central, including database identifiers and ontology terms, to integrate scientific publications with biological databases such as the Protein Data Bank (PDB).

Key Features:

• Full-text parsing (PubMed Central): Parses open-access, peer-reviewed full-text articles available in PubMed Central.
• Semantic metadata extraction: Identifies and extracts database identifiers and ontology terms directly from article full text.
• XML output: Produces XML-based article files that embed the extracted, enriched metadata.
• PDB integration: Integrates extracted metadata with the Protein Data Bank (PDB) to associate publications with specific PDB entries.

Scientific Applications:

• Biocuration support: Provides XML metadata files that biocurators can use to streamline data curation across biological databases.
• Database–literature linking: Enables direct linkage of published experimental results to database entries such as PDB.
• Text-mining and annotation: Supplies ontology terms and identifiers for downstream literature-mining and database annotation workflows.

Methodology:

Extracts metadata (database identifiers and ontology terms) from full-text PubMed Central articles and outputs XML-based article files; integrates the extracted metadata with Protein Data Bank (PDB) entries.