AIMC Topic: Drug Interactions

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A Review on the Recent Applications of Deep Learning in Predictive Drug Toxicological Studies.

Chemical research in toxicology Aug 10, 2023
Drug toxicity prediction is an important step in ensuring patient safety during drug design studies. While traditional preclinical studies have historically relied on animal models to evaluate toxicity, recent advances in deep-learning approaches hav...
Animals Drug Discovery Drug Interactions Drug-Related Side Effects and Adverse Reactions Genomics Deep Learning
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Application of Artificial Intelligence in Drug-Drug Interactions Prediction: A Review.

Journal of chemical information and modeling Jul 17, 2023
Drug-drug interactions (DDI) are a critical aspect of drug research that can have adverse effects on patients and can lead to serious consequences. Predicting these events accurately can significantly improve clinicians' ability to make better decisi...
Humans Artificial Intelligence Machine Learning Drug-Related Side Effects and Adverse Reactions Drug Interactions Databases, Factual
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DEDTI versus IEDTI: efficient and predictive models of drug-target interactions.

Scientific reports Jun 7, 2023
Drug repurposing is an active area of research that aims to decrease the cost and time of drug development. Most of those efforts are primarily concerned with the prediction of drug-target interactions. Many evaluation models, from matrix factorizati...
Neural Networks, Computer Drug Development Drug Repositioning Computer Simulation Algorithms Drug Interactions
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Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature.

Journal of biomedical semantics May 30, 2023
BACKGROUND: Drug-drug interaction (DDI) information retrieval (IR) is an important natural language process (NLP) task from the PubMed literature. For the first time, active learning (AL) is studied in DDI IR analysis. DDI IR analysis from PubMed abs...
Information Storage and Retrieval PubMed Algorithms Drug Interactions Deep Learning
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DrugormerDTI: Drug Graphormer for drug-target interaction prediction.

Computers in biology and medicine Apr 23, 2023
Drug-target interactions (DTI) prediction is a crucial task in drug discovery. Existing computational methods accelerate the drug discovery in this respect. However, most of them suffer from low feature representation ability, significantly affecting...
Proteins Drug Interactions Drug Development Neural Networks, Computer Drug Discovery Molecular Docking Simulation
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Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
Drug-drug interactions are one of the main concerns in drug discovery. Accurate prediction of drug-drug interactions plays a key role in increasing the efficiency of drug research and safety when multiple drugs are co-prescribed. With various data so...
Drug Interactions Neural Networks, Computer Drug Discovery
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CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction.

BMC bioinformatics Mar 23, 2023
BACKGROUND: Drug‒drug interactions (DDIs) are reactions between two or more drugs, i.e., possible situations that occur when two or more drugs are used simultaneously. DDIs act as an important link in both drug development and clinical treatment. Sin...
Drug Interactions Algorithms Neural Networks, Computer Deep Learning Thailand
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Developing a Knowledge Graph for Pharmacokinetic Natural Product-Drug Interactions.

Journal of biomedical informatics Mar 17, 2023
BACKGROUND: Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical or other natural products are co-consumed with pharmaceutical drugs. With the growing use of natural products, the risk for potential NPDIs and consequent adve...
Drug Interactions Biological Ontologies Semantics Biological Products Pattern Recognition, Automated Pharmaceutical Preparations
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The curse and blessing of abundance-the evolution of drug interaction databases and their impact on drug network analysis.

GigaScience Mar 9, 2023
BACKGROUND: Widespread bioinformatics applications such as drug repositioning or drug-drug interaction prediction rely on the recent advances in machine learning, complex network science, and comprehensive drug datasets comprising the latest research...
Drug Interactions Databases, Factual Computational Biology Databases, Pharmaceutical Machine Learning
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MSEDDI: Multi-Scale Embedding for Predicting Drug-Drug Interaction Events.

International journal of molecular sciences Feb 24, 2023
A norm in modern medicine is to prescribe polypharmacy to treat disease. The core concern with the co-administration of drugs is that it may produce adverse drug-drug interaction (DDI), which can cause unexpected bodily injury. Therefore, it is essen...
Knowledge Bases Humans Drug Interactions Polypharmacy
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