[HTML][HTML] Development of an adverse drug event network to predict drug toxicity
Q Wu, O Taboureau, K Audouze - Current Research in Toxicology, 2020 - Elsevier
Despite of their therapeutic effects, drug's exposure may have negative effects on human
health such as adverse drug reaction (ADR) and side effects (SE). Adverse drug events …
health such as adverse drug reaction (ADR) and side effects (SE). Adverse drug events …
Adverse drug events: database construction and in silico prediction
Adverse drug events (ADEs) are the harms associated with uses of given medications at
normal dosages, which are crucial for a drug to be approved in clinical use or continue to …
normal dosages, which are crucial for a drug to be approved in clinical use or continue to …
mtADENet: A novel interpretable method integrating multiple types of network-based inference approaches for prediction of adverse drug events
Z Yu, Z Wu, M Zhou, L Chen, W Li, G Liu… - Computers in Biology and …, 2024 - Elsevier
Identification of adverse drug events (ADEs) is crucial to reduce human health risks and
accelerate drug safety assessment. ADEs are mainly caused by unintended interactions with …
accelerate drug safety assessment. ADEs are mainly caused by unintended interactions with …
Concordance and predictive value of two adverse drug event data sets
A Cami, BY Reis - BMC Medical Informatics and Decision Making, 2014 - Springer
Background Accurate prediction of adverse drug events (ADEs) is an important means of
controlling and reducing drug-related morbidity and mortality. Since no single “gold …
controlling and reducing drug-related morbidity and mortality. Since no single “gold …
ADENet: a novel network-based inference method for prediction of drug adverse events
Identification of adverse drug events (ADEs) is crucial to reduce human health risks and
improve drug safety assessment. With an increasing number of biological and medical data …
improve drug safety assessment. With an increasing number of biological and medical data …
Predicting potential adverse events using safety data from marketed drugs
C Daluwatte, P Schotland, DG Strauss, KK Burkhart… - BMC …, 2020 - Springer
Background While clinical trials are considered the gold standard for detecting adverse
events, often these trials are not sufficiently powered to detect difficult to observe adverse …
events, often these trials are not sufficiently powered to detect difficult to observe adverse …
MetaADEDB 2.0: a comprehensive database on adverse drug events
MetaADEDB is an online database we developed to integrate comprehensive information
on adverse drug events (ADEs). The first version of MetaADEDB was released in 2013 and …
on adverse drug events (ADEs). The first version of MetaADEDB was released in 2013 and …
Analysis of adverse drug reactions using drug and drug target interactions and graph-based methods
SF Lin, KT Xiao, YT Huang, CC Chiu… - Artificial intelligence in …, 2010 - Elsevier
OBJECTIVE: The purpose of this study was to integrate knowledge about drugs, drug
targets, and topological methods. The goals were to build a system facilitating the study of …
targets, and topological methods. The goals were to build a system facilitating the study of …
Drug target prediction using adverse event report systems: a pharmacogenomic approach
Motivation: Unexpected drug activities derived from off-targets are usually undesired and
harmful; however, they can occasionally be beneficial for different therapeutic indications …
harmful; however, they can occasionally be beneficial for different therapeutic indications …
Predicting adverse drug reactions of two‐drug combinations using structural and transcriptomic drug representations to train an artificial neural network
Adverse drug reactions (ADRs) are pharmacological events triggered by drug interactions
with various sources of origin including drug–drug interactions. While there are many …
with various sources of origin including drug–drug interactions. While there are many …