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A big data approach with artificial neural network and molecular similarity for chemical data mining and endocrine disruption prediction
CONTEXT: Chemical toxicity prediction at early stage drug discovery phase has been researched for years, and newest methods are always investigated. Research data comprising chemical physicochemical properties, toxicity, assay, and activity details create massive data which are becoming difficult to...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234712/ https://www.ncbi.nlm.nih.gov/pubmed/30505052 http://dx.doi.org/10.4103/ijp.IJP_304_17 |