A large-scale experiment has uncovered the fundamental rules that govern protein stability, opening the door to more rapid ...

In the ERC project HelixMold, a team from TU Graz developed a method for the computer-based design of artificial proteins, ...

Protein structure prediction (PSP) is an important scientific problem because it helps humans to understand how proteins perform their biological functions. This article models the PSP problem as a ...

Researchers used stable isotope and proteomic analyses on medieval European skeletons to uncover the details of ancient diets. The findings revealed a heavy reliance on C3 plants, terrestrial animal ...

Inside each cell of the human body are proteins that control which genes are expressed at the right place and time. However, intriguingly, many of the most important proteins involved in gene ...

This ability to design entirely new proteins is what distinguishes LatentX from the AlphaFold, according to Kohl. “AlphaFold is a model for protein structure prediction.

Researchers have uncovered the 3D structure of RBP3, a key protein in vision, revealing how it transports retinoids and fatty acids and how its dysfunction may lead to retinal diseases. Proteins play ...

This review provides a comprehensive guide to applying deep learning methodologies and tools in protein structure prediction. We initially outline the databases related to the protein structure ...

The physical interactome of a protein can be altered upon perturbation, modulating cell physiology and contributing to disease. Identifying interactome differences of normal and disease states of ...

Researchers have revealed for the first time how a key protein linked to Parkinson's mutates, leads to cell death in the brain by disrupting mitochondria and causes disease.

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.