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 ...
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 ...
AlphaGalileo

The paired protein language model (PPLM) learns from two interacting proteins simultaneously, enabling prediction of interaction, binding strength, and interactio…

Researchers led by Professor Zhang Yang, Senior Principal Investigator from the Cancer Science Institute of Singapore (CSI ...
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 ...