Drug combination therapy increases successful drug repositioning

W Sun, PE Sanderson, W Zheng - Drug discovery today, 2016 - Elsevier
Highlights•Publications for drug repositioning have drastically increased in past five
years.•Different types of drug repositioning and available resources have been …

Drug combinations: mathematical modeling and networking methods

V Vakil, W Trappe - Pharmaceutics, 2019 - mdpi.com
Treatments consisting of mixtures of pharmacological agents have been shown to have
superior effects to treatments involving single compounds. Given the vast amount of possible …

Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning

A Kastrin, P Ferk, B Leskošek - PloS one, 2018 - journals.plos.org
Drug-drug interaction (DDI) is a change in the effect of a drug when patient takes another
drug. Characterizing DDIs is extremely important to avoid potential adverse drug reactions …

Drug-drug interaction extraction via recurrent neural network with multiple attention layers

Z Yi, S Li, J Yu, Y Tan, Q Wu, H Yuan… - Advanced Data Mining and …, 2017 - Springer
Drug-drug interaction (DDI) is a vital information when physicians and pharmacists intend to
co-administer two or more drugs. Thus, several DDI databases are constructed to avoid …

Leveraging genetic interactions for adverse drug-drug interaction prediction

S Qian, S Liang, H Yu - PLoS computational biology, 2019 - journals.plos.org
In light of increased co-prescription of multiple drugs, the ability to discern and predict drug-
drug interactions (DDI) has become crucial to guarantee the safety of patients undergoing …

Characterization of the mechanism of drug-drug interactions from PubMed using MeSH terms

Y Lu, B Figler, H Huang, YC Tu, J Wang, F Cheng - PLoS One, 2017 - journals.plos.org
Identifying drug-drug interaction (DDI) is an important topic for the development of safe
pharmaceutical drugs and for the optimization of multidrug regimens for complex diseases …

Bradycardia due to donepezil in adults: systematic analysis of FDA adverse event reporting system

R Morris, H Luboff, RP Jose, K Eckhoff… - Journal of …, 2021 - content.iospress.com
Background: Bradycardia is a physiological condition characterized by a decrease in heart
rate and is a side effect of many drug classes. Bradycardia has been reported as an adverse …

Tp-ddi: A two-pathway deep neural network for drug–drug interaction prediction

J Xie, C Zhao, J Ouyang, H He, D Huang, M Liu… - Interdisciplinary …, 2022 - Springer
Adverse drug–drug interactions (DDIs) can severely damage the body. Thus, it is essential
to accurately predict DDIs. DDIs are complex processes in which many factors can cause …

An exact cutting plane method for k-submodular function maximization

Q Yu, S Küçükyavuz - Discrete Optimization, 2021 - Elsevier
A natural and important generalization of submodularity–k-submodularity–applies to set
functions with k arguments and appears in a broad range of applications, such as …

[HTML][HTML] Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data

C Zhan, E Roughead, L Liu, N Pratt, J Li - Journal of Biomedical Informatics, 2020 - Elsevier
As a medicine safety issue, Drug-Drug Interaction (DDI) may become an unexpected threat
for causing Adverse Drug Events (ADEs). There is a growing demand for computational …