4.7 Article

STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug-Drug Interactions

Related references

Note: Only part of the references are listed.
Article Biology

MedFused: A framework to discover the relationships between drug chemical functional group impacts and side effects

M. A. P. Chamikara et al.

Summary: It is well-known that long-term use of certain medications can lead to various side effects, ranging from mild dizziness to severe outcomes like death. Chemical composition, treatment method, and dosage are the main factors contributing to these side effects. Understanding the impact of chemical functional groups on side effects is crucial for synthesizing drugs with minimal adverse reactions.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

Article Biochemical Research Methods

A multimodal deep learning framework for predicting drug-drug interaction events

Yifan Deng et al.

BIOINFORMATICS (2020)

Article Computer Science, Artificial Intelligence

MTMA: Multi-task multi-attribute learning for the prediction of adverse drug-drug interaction

Jiajing Zhu et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Multidisciplinary Sciences

SkipGNN: predicting molecular interactions with skip-graph networks

Kexin Huang et al.

SCIENTIFIC REPORTS (2020)

Article Multidisciplinary Sciences

FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction

Farshid Rayhan et al.

HELIYON (2020)

Article Mathematical & Computational Biology

ISCMF: Integrated similarity-constrained matrix factorization for drug-drug interaction prediction

Narjes Rohani et al.

NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS (2020)

Article Biochemical Research Methods

Novel deep learning model for more accurate prediction of drug-drug interaction effects

Geonhee Lee et al.

BMC BIOINFORMATICS (2019)

Article Multidisciplinary Sciences

Deep learning improves prediction of drug-drug and drug-food interactions

Jae Yong Ryu et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)

Article Engineering, Electrical & Electronic

Tensor Decomposition for Signal Processing and Machine Learning

Nicholas D. Sidiropoulos et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2017)

Article Computer Science, Interdisciplinary Applications

Computational prediction of drug-drug interactions based on drugs functional similarities

Reza Ferdousi et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2017)

Article Multidisciplinary Sciences

Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects

Ping Zhang et al.

SCIENTIFIC REPORTS (2015)

Article Pharmacology & Pharmacy

Performance of Pharmacovigilance Signal-Detection Algorithms for the FDA Adverse Event Reporting System

R. Harpaz et al.

CLINICAL PHARMACOLOGY & THERAPEUTICS (2013)

Article Chemistry, Medicinal

Basic Concepts in Medicinal Chemistry

Marc W. Harrold et al.

DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY (2013)

Article Computer Science, Artificial Intelligence

Tensor factorization using auxiliary information

Atsuhiro Narita et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2012)

Article Biochemistry & Molecular Biology

INDI: a computational framework for inferring drug interactions and their associated recommendations

Assaf Gottlieb et al.

MOLECULAR SYSTEMS BIOLOGY (2012)

Article Cell Biology

Data-Driven Prediction of Drug Effects and Interactions

Nicholas P. Tatonetti et al.

SCIENCE TRANSLATIONAL MEDICINE (2012)

Article Computer Science, Information Systems

Tiering Drug-Drug Interaction Alerts by Severity Increases Compliance Rates

Marilyn D. Paterno et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2009)

Review Mathematics, Applied

Tensor Decompositions and Applications

Tamara G. Kolda et al.

SIAM REVIEW (2009)

Review Pharmacology & Pharmacy

In vitro safety pharmacology profiling:: an essential tool for successful drug development

S Whitebread et al.

DRUG DISCOVERY TODAY (2005)