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Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?

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Pages 627-639 | Received 02 Mar 2015, Accepted 03 May 2016, Published online: 30 May 2016

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Yinqiu Xu, Hequan Yao & Kejiang Lin. (2018) An overview of neural networks for drug discovery and the inputs used. Expert Opinion on Drug Discovery 13:12, pages 1091-1102.
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Alya A Arabi. (2021) Artificial intelligence in drug design: algorithms, applications, challenges and ethics. Future Drug Discovery 3:2.
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María Virginia Sabando, Ignacio Ponzoni & Axel J. Soto. (2019) Neural-based approaches to overcome feature selection and applicability domain in drug-related property prediction. Applied Soft Computing 85, pages 105777.
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David A. Winkler & Tu C. Le. (2016) Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR. Molecular Informatics 36:1-2.
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