AIMC Topic: Drug Interactions

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Knowledge Graph Neural Network With Spatial-Aware Capsule for Drug-Drug Interaction Prediction.

IEEE journal of biomedical and health informatics Mar 6, 2025
Uncovering novel drug-drug interactions (DDIs) plays a pivotal role in advancing drug development and improving clinical treatment. The outstanding effectiveness of graph neural networks (GNNs) has garnered significant interest in the field of DDI pr...
Algorithms Computational Biology Drug Interactions Graph Neural Networks Humans Neural Networks, Computer
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Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis.

Journal of medical Internet research Mar 5, 2025
BACKGROUND: While the COVID-19 pandemic has induced massive discussion of available medications on social media, traditional studies focused only on limited aspects, such as public opinions, and endured reporting biases, inefficiency, and long collec...
COVID-19 SARS-CoV-2 Humans Pandemics Natural Language Processing Drug Interactions COVID-19 Drug Treatment Antiviral Agents Social Media Alanine Adenosine Monophosphate
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Chat GPT vs. Clinical Decision Support Systems in the Analysis of Drug-Drug Interactions.

Clinical pharmacology and therapeutics Feb 11, 2025
The current standard method for the analysis of potential drug-drug interactions (pDDIs) is time-consuming and includes the use of multiple clinical decision support systems (CDSSs) and the interpretation by healthcare professionals. With the emergen...
Drug Interactions Polypharmacy Decision Support Systems, Clinical Generative Artificial Intelligence Aged Aged, 80 and over Male Middle Aged Retrospective Studies Female Humans Artificial Intelligence
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DSANIB: Drug-Target Interaction Predictions With Dual-View Synergistic Attention Network and Information Bottleneck Strategy.

IEEE journal of biomedical and health informatics Feb 10, 2025
Prediction of drug-target interactions (DTIs) is one of the crucial steps for drug repositioning. Identifying DTIs through bio-experimental manners is always expensive and time-consuming. Recently, deep learning-based approaches have shown promising ...
Deep Learning Computational Biology Drug Repositioning Drug Interactions Humans Algorithms
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A Multi-View Feature-Based Interpretable Deep Learning Framework for Drug-Drug Interaction Prediction.

Interdisciplinary sciences, computational life sciences Feb 3, 2025
Drug-drug interactions (DDIs) can result in deleterious consequences when patients take multiple medications simultaneously, emphasizing the critical need for accurate DDI prediction. Computational methods for DDI prediction have garnered recent atte...
Deep Learning Drug Interactions Humans Neural Networks, Computer
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Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction.

Interdisciplinary sciences, computational life sciences Jan 28, 2025
 Combination therapy, which synergistically enhances treatment efficacy and inhibits disease progression through the combined effects of multiple drugs, has emerged as a mainstream approach for treating complex diseases and alleviating symptoms. Howe...
Algorithms Drug Interactions Graph Neural Networks Humans Neural Networks, Computer
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Leveraging Network Target Theory for Efficient Prediction of Drug-Disease Interactions: A Transfer Learning Approach.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 28, 2025
Efficient virtual screening methods can expedite drug discovery and facilitate the development of innovative therapeutics. This study presents a novel transfer learning model based on network target theory, integrating deep learning techniques with d...
Deep Learning Drug Interactions Algorithms Drug Discovery Humans
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Deep Learning of CYP450 Binding of Small Molecules by Quantum Information.

Journal of chemical information and modeling Jan 27, 2025
Drug-drug interaction can lead to diminished therapeutic effects or increased toxicity, posing significant risks, especially in polypharmacy, and cytochrome P450 plays an indispensable role in this interaction. Cytochrome P450, responsible for the me...
Humans Deep Learning Small Molecule Libraries Cytochrome P-450 CYP1A2 Quantum Theory Protein Binding Cytochrome P-450 Enzyme System Drug Interactions
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HDN-DDI: a novel framework for predicting drug-drug interactions using hierarchical molecular graphs and enhanced dual-view representation learning.

BMC bioinformatics Jan 25, 2025
BACKGROUND: Drug-drug interactions (DDIs) especially antagonistic ones present significant risks to patient safety, underscoring the urgent need for reliable prediction methods. Recently, substructure-based DDI prediction has garnered much attention ...
Computational Biology Machine Learning Drug Interactions Algorithms Humans
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MSMDL-DDI: Multi-Layer Soft Mask Dual-View Learning for Drug-Drug Interactions.

Computational biology and chemistry Jan 23, 2025
Drug-drug interactions (DDIs) occur when multiple medications are co-administered, potentially leading to adverse effects and compromising patient safety. However, existing DDI prediction methods often overlook the intricate interactions among chemic...
Drug Interactions Machine Learning Pharmaceutical Preparations Humans Neural Networks, Computer
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