Drug combination therapy increases successful drug repositioning
Highlights•Publications for drug repositioning have drastically increased in past five
years.•Different types of drug repositioning and available resources have been …
years.•Different types of drug repositioning and available resources have been …
Drug combinations: mathematical modeling and networking methods
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 …
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. Characterizing DDIs is extremely important to avoid potential adverse drug reactions …
Drug-drug interaction extraction via recurrent neural network with multiple attention layers
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 …
co-administer two or more drugs. Thus, several DDI databases are constructed to avoid …
Leveraging genetic interactions for adverse drug-drug interaction prediction
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 …
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
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 …
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 …
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 …
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 …
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
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 …
for causing Adverse Drug Events (ADEs). There is a growing demand for computational …