Proteins are constantly moving, but our structures of them are static. Clare Sansom talks to the researchers using ...

Zhuoran Qiao has been awarded the inaugural Chen Institute and Science Prize for Al Accelerated Research for work critical to ...

As summer kicks into full gear and people are spending more time outside, there's one thing on many people's minds—ticks.

Oregon Health & Science University, in collaboration with Oregon State University, has discovered the structural organization and protein components of a lipid-transfer complex known as LPD-3 ...

Thus, the structures of proteins that heretofore could not be extracted stably from the membrane can now be analyzed, and weakly associated lipid molecules, cofactors, and proteins normally lost in ...

In this study, we utilized the AlphaFold2 program to predict interactions among proteins localized in the nuage, a germline-specific non-membrane organelle essential for piRNA biogenesis in Drosophila ...

Researchers say structure reveals many new ways to change PINK1, essentially switching it on, which will be "life-changing" for people with Parkinson’s disease.

ConspectusProtein higher-order structure (HOS) is key to biological function because the mechanisms of protein machinery are encoded in protein three-dimensional structures. Mass spectrometry ...

Basecamp Research announced the launch of BaseFold, its new deep learning model that predicts 3D structures of large, complex proteins more accurately than other AI-powered tools, including the ...

The prediction of protein structure is difficult for a few reasons. First, there is a huge search space — every possible 3D position for each atom in each amino acid.

Google’s AI protein folder IDs structure where none seemingly existed Two intrinsically disordered proteins form a specific structure ID'ed by AlphaFold.

3D interaction homology: The hydrophobic residues alanine, isoleucine, leucine, proline and valine play different structural roles in soluble and membrane proteins ...