AIMC Topic: Drug Interactions

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Screening oral drugs for their interactions with the intestinal transportome via porcine tissue explants and machine learning.

Nature biomedical engineering Feb 20, 2024
In vitro systems that accurately model in vivo conditions in the gastrointestinal tract may aid the development of oral drugs with greater bioavailability. Here we show that the interaction profiles between drugs and intestinal drug transporters can ...
Humans Machine Learning Animals Swine Mice Intestines Pharmaceutical Preparations Drug Interactions Biological Availability
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Multimodal CNN-DDI: using multimodal CNN for drug to drug interaction associated events.

Scientific reports Feb 19, 2024
Drug-to-drug interaction (DDIs) occurs when a patient consumes multiple drugs. Therefore, it is possible that any medication can influence other drugs' effectiveness. The drug-to-drug interactions are detected based on the interactions of chemical su...
Humans Neural Networks, Computer Machine Learning Algorithms Drug Interactions
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A low-cost machine learning framework for predicting drug-drug interactions based on fusion of multiple features and a parameter self-tuning strategy.

Physical chemistry chemical physics : PCCP Feb 14, 2024
Poly-drug therapy is now recognized as a crucial treatment, and the analysis of drug-drug interactions (DDIs) offers substantial theoretical support and guidance for its implementation. Predicting potential DDIs using intelligent algorithms is an eme...
Machine Learning Algorithms Drug Interactions
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SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Feb 5, 2024
Accurately identifying potential drug-target interactions (DTIs) is a critical step in accelerating drug discovery. Despite many studies that have been conducted over the past decades, detecting DTIs remains a highly challenging and complicated proce...
Neural Networks, Computer Databases, Factual Drug Discovery Drug Development Drug Interactions
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CCL-DTI: contributing the contrastive loss in drug-target interaction prediction.

BMC bioinformatics Jan 30, 2024
BACKGROUND: The Drug-Target Interaction (DTI) prediction uses a drug molecule and a protein sequence as inputs to predict the binding affinity value. In recent years, deep learning-based models have gotten more attention. These methods have two modul...
Machine Learning Drug Interactions Amino Acid Sequence Knowledge Entropy
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MFD-GDrug: multimodal feature fusion-based deep learning for GPCR-drug interaction prediction.

Methods (San Diego, Calif.) Jan 28, 2024
The accurate identification of drug-protein interactions (DPIs) is crucial in drug development, especially concerning G protein-coupled receptors (GPCRs), which are vital targets in drug discovery. However, experimental validation of GPCR-drug pairin...
Neural Networks, Computer Drug Discovery Deep Learning Drug Development Drug Interactions
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SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug-drug interaction prediction.

BMC bioinformatics Jan 23, 2024
BACKGROUND: Drug-drug interactions (DDI) are prevalent in combination therapy, necessitating the importance of identifying and predicting potential DDI. While various artificial intelligence methods can predict and identify potential DDI, they often ...
Artificial Intelligence Deep Learning Drug Interactions
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PEB-DDI: A Task-Specific Dual-View Substructural Learning Framework for Drug-Drug Interaction Prediction.

IEEE journal of biomedical and health informatics Jan 4, 2024
Adverse drug-drug interactions (DDIs) pose potential risks in polypharmacy due to unknown physicochemical incompatibilities between co-administered drugs. Recent studies have utilized multi-layer graph neural network architectures to model hierarchic...
Humans Neural Networks, Computer Drug Interactions
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An effective framework for predicting drug-drug interactions based on molecular substructures and knowledge graph neural network.

Computers in biology and medicine Dec 29, 2023
Drug-drug interactions (DDIs) play a central role in drug research, as the simultaneous administration of multiple drugs can have harmful or beneficial effects. Harmful interactions lead to adverse reactions, some of which can be life-threatening, wh...
Humans Neural Networks, Computer Drug Interactions Pattern Recognition, Automated
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Multitype Perception Method for Drug-Target Interaction Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 25, 2023
With the growing popularity of artificial intelligence in drug discovery, many deep-learning technologies have been used to automatically predict unknown drug-target interactions (DTIs). A unique challenge in using these technologies to predict DTI i...
Artificial Intelligence Drug Discovery Drug Development Drug Interactions Perception
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