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Exploiting Machine Learning for End-To-End Drug Discovery and Development

A variety of machine learning methods such as Naïve Bayesian, support vector machines and more recently deep neural networks are demonstrating their utility for drug discovery and development. These leverage the generally bigger data sets created from high throughput screening data and allow predict...

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Podrobná bibliografie
Vydáno v:Nat Mater
Hlavní autoři: Ekins, Sean, Puhl, Ana C., Zorn, Kimberley M., Lane, Thomas R., Russo, Daniel P., Klein, Jennifer J., Hickey, Anthony J., Clark, Alex M.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6594828/
https://ncbi.nlm.nih.gov/pubmed/31000803
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41563-019-0338-z
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