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.

Explore the fascinating process of making a tensegrity structure model using cardboard and simple materials. Every step, from cutting and assembling to balancing the structure, ensures a stable ...

Experimental techniques such as X-ray crystallography and cryo-electron microscopy have substantially improved protein structure determination. However, these techniques capture only static snapshots ...

1. Evolution of protein structure prediction methods: from traditional template-based modeling and template-free modeling approaches to the application of modern deep learning models such as ...

Predicting proteins’ structure from their amino acid sequences had stumped researchers since the 1970s. But in 2020, Hassabis and Jumper developed an artificial intelligence model called AlphaFold2.

A Perspective on Protein Structure Prediction Using Quantum Computers. Journal of Chemical Theory and Computation, 2024; 20 (9): 3359 DOI: 10.1021/acs.jctc.4c00067 ...

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. John Timmer – Sep 19, 2023 11:06 AM | 45 ...

They focused on multi-domain proteins and proposed a strategy to treat the domains as a whole, utilizing XL-MS data between the domains to model the dynamic structures of proteins within cells.

The tertiary structure of proteins refers to the overall three-dimensional shape, after the secondary interactions. These include the influence of polar, nonpolar, acidic, and basic R groups that ...