The challenges of generalizability in artificial intelligence for ADME/Tox endpoint and activity prediction-Reference-Cited by-同舟云学术

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The challenges of generalizability in artificial intelligence for ADME/Tox endpoint and activity prediction

Published:2021-03-19 Issue:9 Volume:16 Page:1045-1056
ISSN:1746-0441
Container-title:Expert Opinion on Drug Discovery
language:en
Short-container-title:Expert Opinion on Drug Discovery

Author:

Huang David Z¹,Baber J. Christian²,Bahmanyar Sogole Sami³

Affiliation:

1. Harvard College, Harvard University, Cambridge, USA

2. Scientific Informatics, Global Head of Scientific Informatics, Scientific Informatics, Takeda Pharmaceuticals, Cambridge, MA, USA

3. Computational Chemistry, Director of Computational Sciences, Computational Chemistry, Takeda Pharmaceuticals, San Diego, USA

Funder

not funded

Publisher

Informa UK Limited

Subject

Drug Discovery

Link

https://www.tandfonline.com/doi/pdf/10.1080/17460441.2021.1901685

Reference102 articles.

1. ImageNet classification with deep convolutional neural networks

2. Brown TB, Mann B, Ryder N; et al. Language models are few-shot learners. ArXiv200514165 Cs, 2020.

3. Mastering the game of Go with deep neural networks and tree search

4. Deep learning

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