Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...
AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
A new machine-learning system can generate protein designs with certain structural features, and which do not exist in nature. These proteins could be utilized to make materials that have similar ...
G-protein coupled receptors (GPCRs) are proteins triggered by ligands (protein-binding chemicals) from outside cells to ...
Machine learning (ML) and other AI- based computational tools have proven their prowess at predicting real-world protein structures. AlphaFold 2, an algorithm developed by scientists at DeepMind that ...
Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...
Using high-speed atomic force microscopy (HS-AFM), the Kanazawa University team led by Mikihiro Shibata filmed the dynamic movements of CaMKII at the single-molecule level. The images revealed that a ...
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