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DeepSide: A Deep Learning Framework for Drug Side Effect Prediction

https://doi.org/10.1101/843029
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/pmic.201200337openalex-snapshot
Predicting adverse drug reaction profiles by integrating protein interaction networks with drug structures
inferredcites →https://doi.org/10.1007/s101650200039openalex-snapshot
Gastrointestinal symptoms associated with enteric-coated sulfasalazine (Azulfidine EN tablets)
inferredcites →https://doi.org/10.1016/j.cell.2017.10.049openalex-snapshot
A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles
inferredcites →https://doi.org/10.1016/j.cels.2016.03.001openalex-snapshot
Metabolic Network Prediction of Drug Side Effects
inferredcites →https://doi.org/10.1016/j.compbiolchem.2017.03.008openalex-snapshot
DrugClust: A machine learning approach for drugs side effects prediction
inferredcites →https://doi.org/10.1016/s0378-5122(00)00159-6openalex-snapshot
Uterine myoma in postmenopause: a comparison between two therapeutic schedules of HRT
inferredcites →https://doi.org/10.1021/ci2005548openalex-snapshot
Drug Side-Effect Prediction Based on the Integration of Chemical and Biological Spaces
inferredcites →https://doi.org/10.1021/jm801546kopenalex-snapshot
Mapping Adverse Drug Reactions in Chemical Space
inferredcites →https://doi.org/10.1038/ncomms8101openalex-snapshot
Pharmacogenomic and clinical data link non-pharmacokinetic metabolic dysregulation to drug side effect pathogenesis
inferredcites →https://doi.org/10.1038/srep11090openalex-snapshot
Comprehensive prediction of drug-protein interactions and side effects for the human proteome
inferredcites →https://doi.org/10.1089/cmb.2010.0255openalex-snapshot
An Algorithmic Framework for Predicting Side Effects of Drugs
inferredcites →https://doi.org/10.1093/bioinformatics/btp369openalex-snapshot
A CitationRank algorithm inheriting Google technology designed to highlight genes responsible for serious adverse drug reaction
inferredcites →https://doi.org/10.1093/bioinformatics/bts383openalex-snapshot
Relating drug–protein interaction network with drug side effects
inferredcites →https://doi.org/10.1093/bioinformatics/btw168openalex-snapshot
Drug-induced adverse events prediction with the LINCS L1000 data
inferredcites →https://doi.org/10.1093/jnci/91.19.1616openalex-snapshot
Chemotherapy-Induced Anemia in Adults: Incidence and Treatment
inferredcites →https://doi.org/10.1093/nar/gku1066openalex-snapshot
ADReCS: an ontology database for aiding standardization and hierarchical classification of adverse drug reaction terms
inferredcites →https://doi.org/10.1093/nar/gkv1075openalex-snapshot
The SIDER database of drugs and side effects
inferredcites →https://doi.org/10.1093/nar/gkv951openalex-snapshot
PubChem Substance and Compound databases
inferredcites →https://doi.org/10.1109/72.159058openalex-snapshot
Multilayer perceptron, fuzzy sets, and classification
inferredcites →https://doi.org/10.1109/access.2017.2755045openalex-snapshot
Predicting Drug Side Effects Using Data Analytics and the Integration of Multiple Data Sources
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1136/amiajnl-2011-000699openalex-snapshot
Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1177/030006058801600404openalex-snapshot
Effect of Doxycycline on Pre-Menstrual Syndrome: A Double-Blind Randomized Clinical Trial
inferredcites →https://doi.org/10.1186/1471-2105-12-169openalex-snapshot
Predicting drug side-effect profiles: a chemical fragment-based approach
inferredcites →https://doi.org/10.1186/1471-2105-14-207openalex-snapshot
Integrative relational machine-learning for understanding drug side-effect profiles
inferredcites →https://doi.org/10.1186/1471-2164-12-s5-s11openalex-snapshot
Predicting adverse side effects of drugs
inferredcites →https://doi.org/10.1186/1758-2946-3-33openalex-snapshot
Open Babel: An open chemical toolbox
inferredcites →https://doi.org/10.1186/s12859-018-2109-2openalex-snapshot
Comparative assessment of strategies to identify similar ligand-binding pockets in proteins
inferredcites →https://doi.org/10.1186/s12859-018-2544-0openalex-snapshot
Predicting adverse drug reactions through interpretable deep learning framework
inferredcites →https://doi.org/10.1186/s12859-018-2563-xopenalex-snapshot
Inverse similarity and reliable negative samples for drug side-effect prediction
inferredcites →https://doi.org/10.1371/journal.pcbi.1000387openalex-snapshot
Drug Discovery Using Chemical Systems Biology: Identification of the Protein-Ligand Binding Network To Explain the Side Effects of CETP Inhibitors
inferredcites →https://doi.org/10.1590/s2175-97902017000215250openalex-snapshot
A simple HPLC method for the determination of halcinonide in lipid nanoparticles: development, validation, encapsulation efficiency, and in vitro drug permeation
inferredcites →https://doi.org/10.2196/11016openalex-snapshot
Detecting Potential Adverse Drug Reactions Using a Deep Neural Network Model
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot
Attention Is All You Need
inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-86258-9_17openalex-snapshot
Predicting Adverse Drug Reactions from Drug Functions by Binary Relevance Multi-label Classification and MLSMOTE
inferred← citeshttps://doi.org/10.1007/978-3-031-11154-9_11openalex-snapshot
BioGNN: How Graph Neural Networks Can Solve Biological Problems
inferred← citeshttps://doi.org/10.1007/s10462-023-10413-7openalex-snapshot
An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects
inferred← citeshttps://doi.org/10.1007/s13194-023-00519-8openalex-snapshot
What are side effects?
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2024.108066openalex-snapshot
K1K2NN: A novel multi-label classification approach based on neighbors for predicting COVID-19 drug side effects
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118523openalex-snapshot
Multimodal fusion methods with deep neural networks and meta-information for aggression detection in surveillance
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102357openalex-snapshot
NDDSA: A network- and domain-based method for predicting drug-side effect associations
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131066openalex-snapshot
MOLGMP: A Markov approach for molecular graph generation with GNNs
inferred← citeshttps://doi.org/10.1080/17460441.2020.1767063openalex-snapshot
An up-to-date overview of computational polypharmacology in modern drug discovery
inferred← citeshttps://doi.org/10.1093/bib/bbaa072openalex-snapshot
Scoring functions for drug-effect similarity
inferred← citeshttps://doi.org/10.1101/2021.08.09.455708openalex-snapshot
Predictive Modeling of Multiplex Chemical Phenomics for Novel Cells and Patients: Applied to Personalized Alzheimer’s Disease Drug Repurposing
inferred← citeshttps://doi.org/10.1101/2021.11.15.468509openalex-snapshot
The assessment of similarity vectors of fingerprint and UMLS in adverse drug reaction prediction
inferred← citeshttps://doi.org/10.1109/cibcb49929.2021.9562920openalex-snapshot
DeepGREP: A deep convolutional neural network for predicting gene-regulating effects of small molecules
inferred← citeshttps://doi.org/10.1109/icodsa58501.2023.10277245openalex-snapshot
Implementation of SMILES2Vec-based LSTM for Predicting Drug Side Effects: Case Study of Hepatobiliary Disorder
inferred← citeshttps://doi.org/10.1109/metroxraine58569.2023.10405789openalex-snapshot
Graph Neural Networks for Drug Discovery: An Integrated Decision Support Pipeline
inferred← citeshttps://doi.org/10.1109/tcbb.2021.3086702openalex-snapshot
MatchMaker: A Deep Learning Framework for Drug Synergy Prediction
inferred← citeshttps://doi.org/10.1109/tcbb.2022.3175362openalex-snapshot
Modular Multi–Source Prediction of Drug Side–Effects With DruGNN
inferred← citeshttps://doi.org/10.1109/tcbb.2022.3215645openalex-snapshot
BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs
inferred← citeshttps://doi.org/10.1109/tcbb.2023.3311015openalex-snapshot
A Deep Learning Approach to the Prediction of Drug Side–Effects on Molecular Graphs
inferred← citeshttps://doi.org/10.1109/tcbbio.2024.3515480openalex-snapshot
MLCNNF: A Multi-Label Convolutional Neural Network Framework for Predicting Adverse COVID Drug Reactions From the Chemical Structure
inferred← citeshttps://doi.org/10.1111/cbdd.13802openalex-snapshot
Predicting adverse drug reactions of two‐drug combinations using structural and transcriptomic drug representations to train an artificial neural network
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1008184openalex-snapshot
Machine learning assisted intraoperative assessment of brain tumor margins using HRMAS NMR spectroscopy
inferred← citeshttps://doi.org/10.1515/jib-2022-0007openalex-snapshot
Integrative analysis of chemical properties and functions of drugs for adverse drug reaction prediction based on multi-label deep neural network
inferred← citeshttps://doi.org/10.3390/info14120663openalex-snapshot
Chem2Side: A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images
inferred← citeshttps://doi.org/10.3390/math10234550openalex-snapshot
Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain
inferred← citeshttps://doi.org/10.4218/etrij.2022-0339openalex-snapshot
MLCNN‐COV: A multilabel convolutional neural network‐based framework to identify negative COVID medicine responses from the chemical three‐dimensional conformer
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