AlphaFold3 uses AI to helps scientists more accurately predict how proteins interact with other biological molecules. When you purchase through links on our site, we may earn an affiliate commission.
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 ...
Domain structure of the unrearranged PML protein and P/R fusion proteins. Note the same RBCC domain (e.g., RING finger, B-box, and coiled-coil) in the N-terminus but different in the C-terminus.
University of Chicago alum John Jumper was awarded a share of the 2024 Nobel Prize in Chemistry on Oct. 9 for developing an AI model that predicts the complex folded structures of proteins. The Royal ...
On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...
The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...
When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...
Proteins are essential macromolecules that play a crucial role in virtually all biological processes. They are the building blocks of life, performing a wide range of functions within organisms, from ...
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