UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive ...

The availability of large-scale protein-protein interaction data has led to the ... structure of the network as a whole is problematic. Graph theory can be successfully and usefully applied ...

Gurion University of the Negev cybersecurity researcher who analyzes fraud on social networks joined forces with a team of ...

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our ...

For the first time, scientists have built a detailed, interactive map of a human cell, revealing how thousands of proteins ...

Complex protein interactions at synapses are essential for memory formation in our brains, but the mechanisms behind these processes remain poorly understood. Now, researchers have developed a ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates ...

To investigate protein–protein interactions, an ideal protein-selection method should allow the identification of the target-interacting sequences from both natural protein and synthetic peptide ...