Imagine the magnificent glaciers of Greenland, the eternal snow of the Tibetan high mountains, and the permanently ice-cold ...

Scientists at St. Jude Children's Research Hospital have reconciled two closely related but contentious mechanisms underlying ...

The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug ...

First discovered more than 20 years ago, PINK1 is a protein directly linked to Parkinson’s disease, but until now, no one has seen what human PINK1 looks like, or how PINK1 attaches to the ...

In the new study, Beltran and colleagues discovered that 72% of these mutations destabilize the crystallin proteins, increasing the odds that they clump together and form cloudy areas in the lens.

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.

The HIV-1 assembly process begins with a newly synthesized Gag polyprotein being targeted to the inner leaflet of the plasma membrane of the infected cells to form immature viral particles.

Human Tsg101 plays key roles in HIV budding and in cellular vacuolar protein sorting (VPS). In performing these functions, Tsg101 binds both ubiquitin (Ub) and the PTAP tetrapeptide ‘late domain’ ...

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. Second, proteins chemically ...

The Cer1 GAG protein shows almost no sequence similarity to retroviral GAG proteins, and is much larger. The Priess team used AlphaFold, a powerful AI system developed by DeepMind, to predict the ...

However, their unique substructural protein-recognition domains that confer their binding specificity remain elusive. While the emergence of glycan arrays has rapidly enabled the profiling of ligand ...