What’s more, even when a protein structure was available, for many years computational models that predict how proteins bind small molecules, or ligands, were not particularly accurate.

Understanding protein–ligand interactions is fundamental to molecular biology and biochemistry. These interactions are at the ...

The new model, called BaseFold, enables more reliable 3D structure predictions for larger and more complex proteins and, according to the company, is “poised to greatly accelerate AI-based drug ...

The sequence of amino acids in the chain determines how the chain will fold up to make the protein, so different proteins have different three-dimensional shapes. The three-dimensional shape of a ...

Protein design aims to create customized antibodies for therapies, biosensors for diagnostics, or enzymes for chemical ...

The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins, but “all of life’s molecules”, according to its ...

CASP (Critical Assessment of Structure Prediction) and CAPRI (Critical Assessment of Predicted Interactions) are two blinded benchmarks for protein prediction models to test their accuracy.

This work presents a valuable exploration of AI-assisted protein engineering, particularly in designing a VHH antibody with enhanced resistance and stability to extreme environments. However, the ...

Study finds ketone esters help clear misfolded proteins in preclinical models of aging and Alzheimer’s disease.