Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction

Prediction of adverse drug reactions based on knowledge graph embedding

(2021) Fei Zhang et al.   BMC Medical Informatics and Decision Making

Side effect prediction based on drug-induced gene expression profiles and random forest with iterative feature selection

(2021) Arzu Cakir et al.   PHARMACOGENOMICS JOURNAL

Antipsychotic-induced extrapyramidal side effects: A systematic review and meta-analysis of observational studies

(2021) Tilahun Ali et al.   PLoS One

Psychopharmacological Treatment, Intraocular Pressure and the Risk of Glaucoma: A Review of Literature

(2021) Adela Magdalena Ciobanu et al.   Journal of Clinical Medicine

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

(2020) Kanica Sachdev et al.   DRUG DEVELOPMENT RESEARCH

Comparative Toxicogenomics Database (CTD): update 2021

(2020) Allan Peter Davis et al.   NUCLEIC ACIDS RESEARCH

Predicting the frequencies of drug side effects

(2020) Diego Galeano et al.   Nature Communications

MetaADEDB 2.0: a comprehensive database on adverse drug events

(2020) Zhuohang Yu et al.   BIOINFORMATICS

An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction

(2020) Jiajie Peng et al.   BRIEFINGS IN BIOINFORMATICS

Inverse similarity and reliable negative samples for drug side-effect prediction

(2019) Yi Zheng et al.   BMC BIOINFORMATICS

Drug Side-Effect Prediction Via Random Walk on the Signed Heterogeneous Drug Network

(2019) Baofang Hu et al.   MOLECULES

Feature-derived graph regularized matrix factorization for predicting drug side effects

(2018) Wen Zhang et al.   NEUROCOMPUTING

A similarity-based method for prediction of drug side effects with heterogeneous information

(2018) Xian Zhao et al.   MATHEMATICAL BIOSCIENCES

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

(2018) Yijie Ding et al.   NEUROCOMPUTING

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

(2017) Yunan Luo et al.   Nature Communications

Predicting Drug Side Effects Using Data Analytics and the Integration of Multiple Data Sources

(2017) Wei-Po Lee et al.   IEEE Access

Acute Pancreatitis Associated With Antipsychotic Medication

(2016) Matthew A. Silva et al.   JOURNAL OF CLINICAL PSYCHOPHARMACOLOGY

Predicting drug side effects by multi-label learning and ensemble learning

(2015) Wen Zhang et al.   BMC BIOINFORMATICS

A survey of current trends in computational drug repositioning

(2015) Jiao Li et al.   BRIEFINGS IN BIOINFORMATICS

The SIDER database of drugs and side effects

(2015) Michael Kuhn et al.   NUCLEIC ACIDS RESEARCH

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

Relating drug-protein interaction network with drug side effects

(2012) S. Mizutani et al.   BIOINFORMATICS

DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical–protein interactome

(2011) Heng Luo et al.   NUCLEIC ACIDS RESEARCH

Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases

(2010) Dong Wang et al.   BIOINFORMATICS

Harvesting Candidate Genes Responsible for Serious Adverse Drug Reactions from a Chemical-Protein Interactome

(2009) Lun Yang et al.   PLoS Computational Biology