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 ...

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

Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a regular basis, ensuring scientists can work with the most current ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

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 ...

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

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 ...

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.

Determining the complete Arabidopsis (Arabidopsis thaliana) protein-protein interaction network is essential for understanding the functional organization of the proteome. Numerous small-scale studies ...