A novel graph attention model for predicting frequencies of drug–side effects from multi-view data

SPVec: A Word2vec-Inspired Feature Representation Method for Drug-Target Interaction Prediction

(2020) Yu-Fang Zhang et al.   Frontiers in Chemistry

A comprehensive review of computational techniques for the prediction of drug side effects

(2020) Kanica Sachdev et al.   DRUG DEVELOPMENT RESEARCH

Predicting the frequencies of drug side effects

(2020) Diego Galeano et al.   Nature Communications

deepDR: A network-based deep learning approach to in silico drug repositioning

(2019) Xiangxiang Zeng et al.   BIOINFORMATICS

Relating Substructures and Side Effects of Drugs with Chemical-Chemical Interactions

(2019) Bo Zhou et al.   COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING

Convolutional Neural Network and Bidirectional Long Short-Term Memory-Based Method for Predicting Drug–Disease Associations

(2019) Xuan et al.   Cells

A deeper graph neural network for recommender systems

(2019) Ruiping Yin et al.   KNOWLEDGE-BASED SYSTEMS

Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition

(2018) Sabrina Jaeger et al.   Journal of Chemical Information and Modeling

Identification of drug-side effect association via multiple information integration with centered kernel alignment

(2018) Yijie Ding et al.   NEUROCOMPUTING

DrugBank 5.0: a major update to the DrugBank database for 2018

(2017) David S Wishart et al.   NUCLEIC ACIDS RESEARCH

Predicting potential side effects of drugs by recommender methods and ensemble learning

(2016) Wen Zhang et al.   NEUROCOMPUTING

The ChEMBL database in 2017

(2016) Anna Gaulton et al.   NUCLEIC ACIDS RESEARCH

A curated and standardized adverse drug event resource to accelerate drug safety research

(2016) Juan M. Banda et al.   Scientific Data

An Adaptive Ridge Procedure for L0 Regularization

(2016) Florian Frommlet et al.   PLoS One

Similarity-based prediction for Anatomical Therapeutic Chemical classification of drugs by integrating multiple data sources

(2015) Zhongyang Liu et al.   BIOINFORMATICS

Epidemiology of Adverse Drug Reactions in Europe: A Review of Recent Observational Studies

(2015) Jacoline C. Bouvy et al.   DRUG SAFETY

Deep Learning in Drug Discovery

(2015) Erik Gawehn et al.   Molecular Informatics

The SIDER database of drugs and side effects

(2015) Michael Kuhn et al.   NUCLEIC ACIDS RESEARCH

ADReCS: an ontology database for aiding standardization and hierarchical classification of adverse drug reaction terms

(2014) Mei-Chun Cai et al.   NUCLEIC ACIDS RESEARCH

Prediction of drug target groups based on chemical–chemical similarities and chemical–chemical/protein connections

(2013) Lei Chen et al.   BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS

Relating drug-protein interaction network with drug side effects

(2012) S. Mizutani et al.   BIOINFORMATICS

Predicting drug side-effect profiles: a chemical fragment-based approach

(2011) Edouard Pauwels et al.   BMC BIOINFORMATICS

Predicting adverse side effects of drugs

(2011) Liang-Chin Huang et al.   BMC GENOMICS

An Algorithmic Framework for Predicting Side Effects of Drugs

(2011) Nir Atias et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

Drug side effect extraction from clinical narratives of psychiatry and psychology patients

(2011) Sunghwan Sohn et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Predicting Biological Functions of Compounds Based on Chemical-Chemical Interactions

(2011) Le-Le Hu et al.   PLoS One

PubChem: a public information system for analyzing bioactivities of small molecules

(2009) Y. Wang et al.   NUCLEIC ACIDS RESEARCH