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

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 ...

A new study from Weill Cornell Medicine provides insights into how cells maintain the tiny end caps of chromosomes as they ...

This algorithm, based on graph representation learning and protein ... deep learning models face challenges in modeling complex molecular–protein interactions and capturing sequence-structure ...

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

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 ...