AI model 'reads' protein pairs, unlocking new insights into disease and drug discovery

Researchers have developed a new artificial intelligence (AI) model that can more accurately predict how proteins interact ...
Science Daily

New AI tool predicts protein-protein interaction mutations in hundreds of diseases

Scientists have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat with medication. The computational tool is ...
Science Daily

A deep learning pipeline for controlling protein interactions

Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...
EurekAlert!

Relative proportions of edges in protein-ligand interaction graphs (IMAGE)

determining predictions of six GNNs for different affinity subregions. The color-coded bars compare the mean proportions of protein, ligand and interaction edges among the top 25 edges of each ...
EurekAlert!

DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction

Exploring the biomedical interactions about chemical compounds and protein targets is crucial for drug discovery. Determining these interactions (DDI/DTI) not only reveals the potential synergistic ...