Drug-drug interaction through molecular structure similarity analysis.
about
Computerized techniques pave the way for drug-drug interaction prediction and interpretationThe Role of Interaction Model in Simulation of Drug Interactions and QT ProlongationDetection of drug-drug interactions by modeling interaction profile fingerprintsImproving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based ModelingPredicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction NetworksSimilarity-based modeling in large-scale prediction of drug-drug interactionsPredicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network dataComputational methods in drug discovery.Characterization of the mechanism of drug-drug interactions from PubMed using MeSH termsData-driven prediction of adverse drug reactions induced by drug-drug interactions.Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic propertiesSimilarity-based modeling applied to signal detection in pharmacovigilance.A community computational challenge to predict the activity of pairs of compoundsPositive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes.Predicting drug-drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge.A novel algorithm for analyzing drug-drug interactions from MEDLINE literature.Feasibility of Prioritizing Drug-Drug-Event Associations Found in Electronic Health Records.Informatics confronts drug-drug interactionsLearning signals of adverse drug-drug interactions from the unstructured text of electronic health recordsMining clinical text for signals of adverse drug-drug interactions.The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions.Current Trends in Multidrug Optimization.Predicting synergistic effects between compounds through their structural similarity and effects on transcriptomes.Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects.Text Mining Driven Drug-Drug Interaction Detection.Towards personalized medicine: leveraging patient similarity and drug similarity analytics.Drug knowledge bases and their applications in biomedical informatics research.In silico profiling of systemic effects of drugs to predict unexpected interactions.Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning.Modeling polypharmacy side effects with graph convolutional networks.
P2860
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P2860
Drug-drug interaction through molecular structure similarity analysis.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Drug-drug interaction through molecular structure similarity analysis.
@ast
Drug-drug interaction through molecular structure similarity analysis.
@en
type
label
Drug-drug interaction through molecular structure similarity analysis.
@ast
Drug-drug interaction through molecular structure similarity analysis.
@en
prefLabel
Drug-drug interaction through molecular structure similarity analysis.
@ast
Drug-drug interaction through molecular structure similarity analysis.
@en
P2093
P2860
P50
P1476
Drug-drug interaction through molecular structure similarity analysis
@en
P2093
Carol Friedman
Rave Harpaz
Santiago Vilar
P2860
P304
P356
10.1136/AMIAJNL-2012-000935
P577
2012-05-30T00:00:00Z