The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Add Yahoo as a preferred source to see more of our stories on Google. Although the Nobel Prizes in physics and chemistry are awarded separately, there is a fascinating connection between the winning ...

A novel machine learning "toolbox" that can read and analyse the sequences of proteins has been described in the open-access journal eLife. The study demonstrates that, when trained to read sequence ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the formation of biomolecular condensates, "droplets" of concentrated proteins, DNA ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials. (Nanowerk News) The ...

An international team of scientists has discovered that a small, low-abundance protein plays a surprisingly big role in assembling carboxysomes—specialized bacterial microcompartments that enable ...