Year  Title  Author 
2017

Learning GraphLevel Representation for Drug Discovery 
J Li, D Cai, X He

2017

Machine learningbased prediction of adverse drug effects: an example of seizureinducing compounds 
M Gao, H Igata, A Takeuchi, K Sato, Y Ikegaya

2017

DeepSynergy: Predicting anticancer drug synergy with Deep Learning 
K Preuer, RPI Lewis, S Hochreiter, A Bender

2017

From machine learning to deep learning: progress in machine intelligence for rational drug discovery 
L Zhang, J Tan, D Han, H Zhu

2017

Deep Learning to Predict the Formation of Quinone Species in Drug Metabolism 
TB Hughes, SJ Swamidass

2017

ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? 
M Benhenda

2017

Identifying Chemical Substructures Associated with Adverse Drug Reactions using Deep Learning Framework 
S Dey, H Luo, A Fokoue, J Hu, P Zhang

2017

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Datasets 
A Korotcov, V Tkachenko, DP Russo, S Ekins

2017

De novo Drug Design–Ye olde Scoring Problem Revisited 
G Schneider, K Funatsu, Y Okuno, D Winkler

2017

Computational Methods for the Prediction of DrugTarget Interactions from Drug Fingerprints and Protein Sequences by Stacked AutoEncoder Deep Neural Network 
L Wang, ZH You, X Chen, SX Xia, F Liu, X Yan, Y Zhou

2016

Discovery of the relations between genetic polymorphism and adverse drug reactions 
Z Liang, G Zhang, JX Huang

2016

A New Data Representation Based on Training Data Characteristics to Extract Drug Name Entity in Medical Text 
M Sadikin, MI Fanany, T Basaruddin

2016

Fully unsupervised lowdimensional representation of adverse drug reaction events through distributional semantics 
A Pérez, A Casillas, K Gojenola

2016

A New Data Representation Based on Training Data Characteristics to Extract Drug NamedEntity in Medical Text 
S Mujionoa, MI Fananyc, T Basaruddinc

2016

Application of Computational Drug Discovery Techniques for Designing New Drugs against Zika Virus 
JP Ceron

2016

Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data 
A Aliper, S Plis, A Artemov, A Ulloa, P Mamoshina

2016

Students who developed logical reasoning skills reported improved confidence in drug dose calculation: Feedback from remedial maths classes 
C Shelton

2016

Algorithms for Drug Sensitivity Prediction 
C De Niz, R Rahman, X Zhao, R Pal

2016

A renaissance of neural networks in drug discovery 
I Tetko, D Winkler, I Baskin

2016

Advanced use of EEG in drug development and personalized medicine 
S Simpraga, R Alvarez

2016

Low Data Drug Discovery with Oneshot Learning 
H Altae

2016

Deep Learning in Drug Discovery 
E Gawehn, JA Hiss, G Schneider

2016

Largescale Computational Screening and Machine Learning Approaches to Drug Discovery 
BK Allen

2016

DLADR: a novel deep learning model for classifying genomic variants into adverse drug reactions 
Z Liang, JX Huang, X Zeng, G Zhang

2015

Massively Multitask Networks for Drug Discovery 
B Ramsundar, S Kearnes, P Riley, D Webster

2015

Massively Multitask Deep Learning for Drug Discovery 
J Feriante

2015

Providing data science support for systems pharmacology and its implications to drug discovery 
T Hart, L Xie

2015

AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structurebased Drug Discovery 
I Wallach, M Dzamba, A Heifets

2015

Analysis of Drug Design for a Selection of G ProteinCoupled NeuroReceptors Using Neural Network Techniques 
C Agerskov, RM Mortensen, HG Bohr

2015

Drug pipeline: 2Q15 
L DeFrancesco

2015

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features 
A Nikfarjam, A Sarker, K O'Connor, R Ginn, G Gonzalez

2015

Prediction of Clinical Drug Response Based on Differential Gene Expression Levels 
Z Yue, Y Chen, J Xia

2015

DrugInduced liver injury: interactions between drug properties and host factors 
M Chen, A Suzuki, J Borlak, RJ Andrade, MI Lucena

2014

MultiTask Deep Networks for Drug Target Prediction 
T Unterthiner, A Mayr, G Klambauer, M Steijaert
