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...

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Detalles Bibliográficos
Autores principales: Paulose, Renjith, Jegatheesan, Kalirajan, Balakrishnan, Gopal Samy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Research Article
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

Internet

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

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