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

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

Discover how a structural breakthrough in the chikungunya virus is opening new avenues for antiviral drug development and ...

Zhan Qifang, a teacher, with senior-levelprofessional qualification, at Shanghai Luwan Senior High School, is a member of Shanghai Association for the Advancement of Science for Youths (SAASY). In ...

MULGONET combines deep learning and multi-omics analysis to predict tumor recurrence, addressing interpretability and ...

Jerusalem: Israeli scientists have developed a novel artificial intelligence (AI) tool that can identify key proteins ...

Complex protein interactions at synapses are essential for memory formation in our brains, but the mechanisms behind these ...

Elix, Inc. (CEO: Shinya Yuki / HQ: Tokyo, hereinafter "Elix"), an AI drug discovery company with the mission of "Rethinking ...

Avoid fusions to the GFP fragments at the site of protein-protein interaction and consider optimizing the spacer length between the fusions and GFP fragments, if necessary. In the absence of ...

Research published in the Journal of Neurochemistry has detailed the role of a protein, hnRNP A1, in the formation and ...

Our brain's remarkable ability to form and store memories has long fascinated scientists, yet most of the microscopic mechanisms behind memory and learning processes remain a mystery.