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Toxicity Prediction using Deep Learning

Toxicity Prediction using Deep Learning

4 March 2015
Thomas Unterthiner
Andreas Mayr
G. Klambauer
Sepp Hochreiter
ArXivPDFHTML

Papers citing "Toxicity Prediction using Deep Learning"

22 / 22 papers shown
Title
A Deep Neural Network -- Mechanistic Hybrid Model to Predict
  Pharmacokinetics in Rat
A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat
Florian Führer
Andrea Gruber
Holger Diedam
A. Göller
Stephan Menz
S. Schneckener
15
3
0
13 Oct 2023
GraphGANFed: A Federated Generative Framework for Graph-Structured
  Molecules Towards Efficient Drug Discovery
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery
Daniel Manu
Jingjing Yao
Wuji Liu
Xiang Sun
FedML
30
6
0
11 Apr 2023
Improving Compound Activity Classification via Deep Transfer and
  Representation Learning
Improving Compound Activity Classification via Deep Transfer and Representation Learning
Vishal Dey
R. Machiraju
Xia Ning
AAML
17
3
0
14 Nov 2021
Seed Stocking Via Multi-Task Learning
Seed Stocking Via Multi-Task Learning
Yunhe Feng
Wenjun Zhou
8
0
0
12 Jan 2021
Explaining Chemical Toxicity using Missing Features
Explaining Chemical Toxicity using Missing Features
Kar Wai Lim
Bhanushee Sharma
Payel Das
Vijil Chenthamarakshan
J. Dordick
9
7
0
23 Sep 2020
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space
Ke Yu
Shyam Visweswaran
Kayhan Batmanghelich
BDL
11
27
0
01 Jun 2020
libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning
  Applications
libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications
Jocelyn Sunseri
D. Koes
AI4CE
16
32
0
10 Dec 2019
Efficient Toxicity Prediction via Simple Features Using Shallow Neural
  Networks and Decision Trees
Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees
Abdul Karim
Avinash Mishra
M. A. Hakim Newton
A. Sattar
11
55
0
26 Jan 2019
Using Attribution to Decode Dataset Bias in Neural Network Models for
  Chemistry
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry
Kevin McCloskey
Ankur Taly
Federico Monti
M. Brenner
Lucy J. Colwell
22
85
0
27 Nov 2018
CarePre: An Intelligent Clinical Decision Assistance System
CarePre: An Intelligent Clinical Decision Assistance System
Zhuochen Jin
Jingshun Yang
Shuyuan Cui
David Gotz
Jimeng Sun
Nan Cao
18
31
0
06 Nov 2018
Latent Molecular Optimization for Targeted Therapeutic Design
Latent Molecular Optimization for Targeted Therapeutic Design
Tristan Aumentado-Armstrong
13
41
0
05 Sep 2018
Relational dynamic memory networks
Relational dynamic memory networks
Trang Pham
T. Tran
Svetha Venkatesh
GNN
19
3
0
10 Aug 2018
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient
  Stratification
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification
Alexandr A Kalinin
Gerald A. Higgins
Narathip Reamaroon
S. M. Reza Soroushmehr
Ari Allyn-Feuer
I. Dinov
Kayvan Najarian
B. Athey
OOD
30
122
0
25 Jan 2018
Graph Memory Networks for Molecular Activity Prediction
Graph Memory Networks for Molecular Activity Prediction
Trang Pham
T. Tran
Svetha Venkatesh
GNN
23
30
0
08 Jan 2018
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent
  Neural Networks
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
Marwin H. S. Segler
T. Kogej
C. Tyrchan
M. Waller
17
96
0
05 Jan 2017
Low Data Drug Discovery with One-shot Learning
Low Data Drug Discovery with One-shot Learning
Han Altae-Tran
Bharath Ramsundar
Aneesh S. Pappu
Vijay S. Pande
21
676
0
10 Nov 2016
Personalized Prognostic Models for Oncology: A Machine Learning Approach
Personalized Prognostic Models for Oncology: A Machine Learning Approach
D. Dooling
Angela Kim
B. McAneny
J. Webster
36
3
0
22 Jun 2016
Molecular Graph Convolutions: Moving Beyond Fingerprints
Molecular Graph Convolutions: Moving Beyond Fingerprints
S. Kearnes
Kevin McCloskey
Marc Berndl
Vijay S. Pande
Patrick F. Riley
GNN
50
1,435
0
02 Mar 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
14
5,481
0
23 Nov 2015
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction
  in Structure-based Drug Discovery
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Izhar Wallach
Michael Dzamba
Abraham Heifets
18
537
0
10 Oct 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
D. Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
22
3,326
0
30 Sep 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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