ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees
Abstract The global decline in bee populations poses significant risks to agriculture, biodiversity, and environmental stability. To bridge the gap in existing data, we introduce ApisTox, a comprehensive dataset focusing on the toxicity of pesticides to honey bees (Apis mellifera). This dataset comb...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04232-w |
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| author | Jakub Adamczyk Jakub Poziemski Pawel Siedlecki |
| author_facet | Jakub Adamczyk Jakub Poziemski Pawel Siedlecki |
| author_sort | Jakub Adamczyk |
| collection | DOAJ |
| description | Abstract The global decline in bee populations poses significant risks to agriculture, biodiversity, and environmental stability. To bridge the gap in existing data, we introduce ApisTox, a comprehensive dataset focusing on the toxicity of pesticides to honey bees (Apis mellifera). This dataset combines and leverages data from existing sources such as ECOTOX and PPDB, providing an extensive, consistent, and curated collection that surpasses the previous datasets. ApisTox incorporates a wide array of data, including toxicity levels for chemicals, details such as time of their publication in literature, and identifiers linking them to external chemical databases. This dataset may serve as an important tool for environmental and agricultural research, but also can support the development of policies and practices aimed at minimizing harm to bee populations. Finally, ApisTox offers a unique resource for benchmarking molecular property prediction methods on agrochemical compounds, facilitating advancements in both environmental science and chemoinformatics. This makes it a valuable tool for both academic research and practical applications in bee conservation. |
| format | Article |
| id | doaj-art-f9ada6fd910543d29c27de6680d8ac58 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-f9ada6fd910543d29c27de6680d8ac582025-01-05T12:08:24ZengNature PortfolioScientific Data2052-44632025-01-0112111510.1038/s41597-024-04232-wApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey beesJakub Adamczyk0Jakub Poziemski1Pawel Siedlecki2AGH University of Krakow, Department of Computer ScienceInstitute of Biochemistry and Biophysics, Polish Academy of SciencesInstitute of Biochemistry and Biophysics, Polish Academy of SciencesAbstract The global decline in bee populations poses significant risks to agriculture, biodiversity, and environmental stability. To bridge the gap in existing data, we introduce ApisTox, a comprehensive dataset focusing on the toxicity of pesticides to honey bees (Apis mellifera). This dataset combines and leverages data from existing sources such as ECOTOX and PPDB, providing an extensive, consistent, and curated collection that surpasses the previous datasets. ApisTox incorporates a wide array of data, including toxicity levels for chemicals, details such as time of their publication in literature, and identifiers linking them to external chemical databases. This dataset may serve as an important tool for environmental and agricultural research, but also can support the development of policies and practices aimed at minimizing harm to bee populations. Finally, ApisTox offers a unique resource for benchmarking molecular property prediction methods on agrochemical compounds, facilitating advancements in both environmental science and chemoinformatics. This makes it a valuable tool for both academic research and practical applications in bee conservation.https://doi.org/10.1038/s41597-024-04232-w |
| spellingShingle | Jakub Adamczyk Jakub Poziemski Pawel Siedlecki ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees Scientific Data |
| title | ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees |
| title_full | ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees |
| title_fullStr | ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees |
| title_full_unstemmed | ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees |
| title_short | ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees |
| title_sort | apistox a new benchmark dataset for the classification of small molecules toxicity on honey bees |
| url | https://doi.org/10.1038/s41597-024-04232-w |
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