Integrating artificial intelligence and manual curation to enhance bioassay annotations in ChEMBL

Abstract As the volume and diversity of bioactivity data in ChEMBL continues to grow, ensuring that assay metadata is standardized, interoperable, and machine-readable is critical for effective use in cheminformatics and ML applications. In this work, we present recent efforts to enhance the quality...

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Үндсэн зохиолчид:	Ines Smit, Melissa F. Adasme, Emma Manners, Sybilla Corbett, Nicolas Bosc, Hoang-My-Anh Do, Andrew R. Leach, Noel M. O’Boyle, Barbara Zdrazil
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	BMC 2026-02-01
Цуврал:	Journal of Cheminformatics
Нөхцлүүд:	ChEMBL FAIR data Bioassay annotation Natural language processing Named entity recognition Machine learning
Онлайн хандалт:	https://doi.org/10.1186/s13321-026-01165-x
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!