Article

HARVEST: Unlocking the Dark Bioactivity Data of Pharmaceutical Patents via Agentic AI

2026-03-18

Abstract excerpt

Pharmaceutical patents contain vast Structure–Activity Relationship tables documenting protein– ligand binding data. While technically public, this information remains computationally inaccessible and effectively dark, trapped in bulky documents that no existing database has systematically captured. We present HARVEST, a multi-agent large language model pipeline that autonomously extracts structured bioactivity re...

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Literature Corpus work: b5600575-b3cc-5a07-a241-93f3818bbb3e
DOI: 10.64898/2026.03.15.711910

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