AIMC Topic: Drug Repositioning

Clear Filters Showing 21 to 30 of 270 articles

Knowledge graph applications and multi-relation learning for drug repurposing: A scoping review.

Computational biology and chemistry Jan 31, 2025
OBJECTIVE: Development of novel drug solutions has always been an expensive endeavour, hence drug repurposing as an approach has gained popularity in recent years. In this review we intend to examine one of the most unique computational methods for d...
Machine Learning Humans Drug Repositioning
View on PubMed DOI

ExPDrug: Integration of an interpretable neural network and knowledge graph for pathway-based drug repurposing.

Computers in biology and medicine Jan 29, 2025
Precision medicine aims to provide personalized therapies by analyzing patient molecular profiles, often focusing on gene expression data. However, effectively linking these data to actionable drug discovery for clinical application remains challengi...
Transcriptome Drug Repositioning Humans Algorithms Neural Networks, Computer Precision Medicine
View on PubMed DOI

MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph.

Journal of chemical information and modeling Jan 15, 2025
Accurate prediction of drug-target interactions (DTIs) is pivotal for accelerating the processes of drug discovery and drug repurposing. MVCL-DTI, a novel model leveraging heterogeneous graphs for predicting DTIs, tackles the challenge of synthesizin...
COVID-19 Drug Treatment Drug Repositioning Humans Machine Learning SARS-CoV-2 Drug Discovery
View on PubMed DOI

DeepDrug as an expert guided and AI driven drug repurposing methodology for selecting the lead combination of drugs for Alzheimer's disease.

Scientific reports Jan 15, 2025
Alzheimer's Disease (AD) significantly aggravates human dignity and quality of life. While newly approved amyloid immunotherapy has been reported, effective AD drugs remain to be identified. Here, we propose a novel AI-driven drug-repurposing method,...
Humans Artificial Intelligence Alzheimer Disease Drug Combinations Drug Therapy, Combination Drug Repositioning
View on PubMed DOI

Drug repurposing using artificial intelligence, molecular docking, and hybrid approaches: A comprehensive review in general diseases vs Alzheimer's disease.

Computer methods and programs in biomedicine Jan 13, 2025
BACKGROUND: Alzheimer's disease (AD), the most prevalent form of dementia, remains enigmatic in its origins despite the widely accepted "amyloid hypothesis," which implicates amyloid-beta peptide aggregates in its pathogenesis and progression. Despit...
Drug Repositioning Alzheimer Disease Artificial Intelligence Molecular Docking Simulation Humans
View on PubMed DOI

Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders.

Scientific reports Jan 13, 2025
Tyrosine-protein kinase Src plays a key role in cell proliferation and growth under favorable conditions, but its overexpression and genetic mutations can lead to the progression of various inflammatory diseases. Due to the specificity and selectivit...
Protein Kinase Inhibitors src-Family Kinases Drug Repositioning Molecular Dynamics Simulation Machine Learning Molecular Docking Simulation Inflammation Support Vector Machine Humans
View on PubMed DOI

MCF-DTI: Multi-Scale Convolutional Local-Global Feature Fusion for Drug-Target Interaction Prediction.

Molecules (Basel, Switzerland) Jan 12, 2025
Predicting drug-target interactions (DTIs) is a crucial step in the development of new drugs and drug repurposing. In this paper, we propose a novel drug-target prediction model called MCF-DTI. The model utilizes the SMILES representation of drugs an...
Drug Repositioning Humans Neural Networks, Computer Antineoplastic Agents Lung Neoplasms Algorithms Drug Discovery
View on PubMed DOI

Semisupervised Contrastive Learning for Bioactivity Prediction Using Cell Painting Image Data.

Journal of chemical information and modeling Jan 6, 2025
Morphological profiling has recently demonstrated remarkable potential for identifying the biological activities of small molecules. Alongside the fully supervised and self-supervised machine learning methods recently proposed for bioactivity predict...
Drug Discovery Image Processing, Computer-Assisted Humans Machine Learning Drug Repositioning Supervised Machine Learning
View on PubMed DOI

Drug repositioning for Parkinson's disease: An emphasis on artificial intelligence approaches.

Ageing research reviews Jan 2, 2025
Parkinson's disease (PD) is one of the most incapacitating neurodegenerative diseases (NDDs). PD is the second most common NDD worldwide which affects approximately 1-2 percent of people over 65 years. It is an attractive pursuit for artificial intel...
Machine Learning Antiparkinson Agents Drug Discovery Parkinson Disease Drug Repositioning Humans Artificial Intelligence
View on PubMed DOI

Drug molecular representations for drug response predictions: a comprehensive investigation via machine learning methods.

Scientific reports Jan 2, 2025
The integration of drug molecular representations into predictive models for Drug Response Prediction (DRP) is a standard procedure in pharmaceutical research and development. However, the comparative effectiveness of combining these representations ...
Machine Learning Precision Medicine Drug Repositioning Humans Drug Discovery Pharmaceutical Preparations Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals