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Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation
Hao et al. (2022) present DTox (deep learning for toxicology), a neural network designed to predict and probe the sites and potential mechanisms underlying chemical toxicity; results provide a map to facilitate modular testing and improvements across multiple disparate applications.
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481942/ https://www.ncbi.nlm.nih.gov/pubmed/36124303 http://dx.doi.org/10.1016/j.patter.2022.100586 |
| _version_ | 1784791351121936384 |
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| author | Sniatynski, Matthew J. Kristal, Bruce S. |
| author_facet | Sniatynski, Matthew J. Kristal, Bruce S. |
| author_sort | Sniatynski, Matthew J. |
| collection | PubMed |
| description | Hao et al. (2022) present DTox (deep learning for toxicology), a neural network designed to predict and probe the sites and potential mechanisms underlying chemical toxicity; results provide a map to facilitate modular testing and improvements across multiple disparate applications. |
| format | Online Article Text |
| id | pubmed-9481942 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Elsevier |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-94819422022-09-18 Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation Sniatynski, Matthew J. Kristal, Bruce S. Patterns (N Y) Preview Hao et al. (2022) present DTox (deep learning for toxicology), a neural network designed to predict and probe the sites and potential mechanisms underlying chemical toxicity; results provide a map to facilitate modular testing and improvements across multiple disparate applications. Elsevier 2022-09-09 /pmc/articles/PMC9481942/ /pubmed/36124303 http://dx.doi.org/10.1016/j.patter.2022.100586 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| spellingShingle | Preview Sniatynski, Matthew J. Kristal, Bruce S. Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation |
| title | Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation |
| title_full | Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation |
| title_fullStr | Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation |
| title_full_unstemmed | Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation |
| title_short | Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation |
| title_sort | predicting drug toxicity at the intersection of informatics and biology: dtox builds a foundation |
| topic | Preview |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481942/ https://www.ncbi.nlm.nih.gov/pubmed/36124303 http://dx.doi.org/10.1016/j.patter.2022.100586 |
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