To determine the three-dimensional structure of small proteins such as transthyretin, researchers often turn to crystallography, in which proteins are forced into a large, repetitive crystal ...

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

Crucially, the approach works even with the predicted structures of proteins that have never been experimentally determined. It has implications for the massive amount of structural data being ...

Protein structure predictions are bioinformatic analyses that produce predicted protein structures automatically using the protein amino acid sequence. Protein structures are important because ...

QuantumFold integrates quantum circuits with classical deep learning to predict protein structures. Utilizing SidechainNet, it combines quantum feature encoding with LSTM layers for accurate ...

Simplified redesign of proteins to improve ligand binding Date: January 21, 2025 Source: University of Alabama at Birmingham Summary: The ability to alter proteins to refine control over binding ...

A prominent research group from Ehime University and its close partner at Kiel University have published their third ...

It has been a few years since AI began successfully tackling the challenge of predicting the three-dimensional structure of proteins, complex molecules that are essential for all life. Next ...