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

Various approaches to such protein redesign have drawbacks. Traditional methods include time-consuming trial and error efforts, and many models in the emerging field ...

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

A research team engineered a rigid, nanometer-scale protein module to address the challenge of measuring antibody flexibility ...

In a new move, researchers have shown that protein design software can incorporate motion into its outputs. The resulting protein gives a wave with one arm as it binds and releases a calcium ion ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

By extending a naturally rigid bacterial protein by 50% while preserving geometry and stability, the study introduces protein ...