Recent advances in computational biology have revolutionised the field of protein structure and function prediction. Traditionally, determining the three‐dimensional architecture of a protein from its ...

In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled, “Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure ...

Jia’s team developed a protocol to improve the screening of protein pockets. This involved identifying the pockets, removing ...

Fully open source model accurately predicts the 3D structures of proteins and biomolecules in silico, and serves as a foundational model for next generation of cutting-edge Protein AI tools The ...

A novel artificial intelligence (AI) tool has revealed how disease-linked proteins misfold into harmful structures, a key advance in understanding neurodegenerative disorders such as Alzheimer's and ...

Northwestern University researchers have identified structural features in engineered cell receptors that correlate with ...

Researchers create Disobind, an AI tool predicting protein interactions, advancing disease biology and drug design applications.

Researchers have developed a novel computational pipeline designed to identify protein biomarkers associated with complex diseases, including Alzheimer's disease (AD). This innovative tool analyzes ...

Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.