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 ...

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 ...

Israeli researchers have created an AI-based tool to identify critical proteins that could unlock insights into human disea ...

Called NetFlow3D, the framework has been applied to 33 different cancer types, leveraging the 3D structures of every human protein and all known interactions between proteins to decipher how ...