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DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity
  through Unified Recurrent and Convolutional Neural Networks

DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks

20 June 2018
Mostafa Karimi
Di Wu
Zhangyang Wang
Yang Shen
ArXivPDFHTML

Papers citing "DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks"

3 / 53 papers shown
Title
Explainable Deep Relational Networks for Predicting Compound-Protein
  Affinities and Contacts
Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts
Mostafa Karimi
Di Wu
Zhangyang Wang
Yang Shen
27
46
0
29 Dec 2019
KekuleScope: prediction of cancer cell line sensitivity and compound
  potency using convolutional neural networks trained on compound images
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
I. Cortés-Ciriano
A. Bender
MedIm
27
51
0
22 Nov 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,338
0
12 Feb 2018
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