Query DDI Corpus 2013 for annotated drug–drug interactions with JSON output.
npx skills add https://github.com/QSong-github/DrugClaw --skill ddi-corpus-2013
Please help me install this Agent Skill. Skill: DDI Corpus 2013 Source: https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_nlp/ddi_corpus Command: npx skills add https://github.com/QSong-github/DrugClaw --skill ddi-corpus-2013
Quickly retrieve annotated drug–drug interaction information from the DDI Corpus 2013, enabling researchers to study interaction patterns without manually parsing XML data.
Query one or more drug names to retrieve their annotated DDI interactions from the corpus.
High-intent search queries and answers about installing and using this skill.
To retrieve drug-drug interactions from the DDI Corpus 2013, query one or more drug names to obtain partner interactions, ddi_type, and source sentences parsed directly from XML-annotated data.
Extracting drug interaction types and partner entities from biomedical XML corpora involves querying annotated drug names to return structured JSON fields containing ddi_type, partner interactions, and source labels.
Yes, you can compare drug interactions across DrugBank and MedLine sources, as querying the DDI Corpus returns structured JSON results that include source labels for each annotated interaction.
The best way to query biomedical NLP corpora for drug-drug interactions without manual XML parsing is using an index-based retrieval skill that returns JSON-formatted outputs with interaction details and example sentences.
You can limit the number of returned interactions and sentences when querying the DDI Corpus by applying configurable maximum limits during the local index-based retrieval process.
Yes, the DDI Corpus 2013 skill returns structured JSON output for entity-level drug interactions, providing fields like canonical_names, entity_types, interactions, and example_sentences.
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