Advances and Perspectives in Applying Deep Learning for Drug Design and Discovery-Reference-Cited by-同舟云学术

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Advances and Perspectives in Applying Deep Learning for Drug Design and Discovery

Published:2019-11-05 Issue: Volume:6 Page:
ISSN:2296-9144
Container-title:Frontiers in Robotics and AI
language:
Short-container-title:Front. Robot. AI

Author:

Lipinski Celio F.,Maltarollo Vinicius G.,Oliveira Patricia R.,da Silva Alberico B. F.,Honorio Kathia Maria

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Pro-Reitoria de Pesquisa, Universidade de São Paulo

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference38 articles.

1. Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data;Aliper;Mol. Pharm,2016

2. Low data drug discovery with one-shot learning;Altae-Tran;ACS Cent. Sci.,2017

3. QSAR modeling of Tox21 challenge stress response and nuclear receptor signaling toxicity assays;Capuzzi;Front. Environ. Sci,2016

4. Multitask learning;Caruana;Mach. Learn.,1997

5. Design of deep belief networks for short-term prediction of drought index using data in the Huaihe River basin;Chen;Math. Probl. Eng,2012

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