A systematic review of 38 studies finds that protein language models excel on benchmarks but largely lack experimental ...

A new multimodal AI framework called TriCCA-PPI fuses sequence, structure, and functional data through chained cross-attention to predict protein-protein interactions more accurately, especially for ...

Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a regular basis, ensuring scientists can work with the most current ...

On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...

Efforts to unlock the mysteries of proteins, building blocks of life, have earned three scientists the 2024 Nobel Prize in chemistry. The prize goes to David Baker “for computational protein design,” ...

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI ...

A Baylor College of Medicine-led team has developed a strategy that combines the analysis of thousands of proteins with artificial intelligence to accelerate the discovery of small molecules called ...

Proteins are the molecular workhorses of cells. To understand their functions, scientists soon realized that they had to figure out proteins’ shapes. But solving a protein structure is a challenging ...

The algorithm called AlphaFold has now been used to predict structures for all known proteins. The protein-folding process can be represented as a pathway through an energy landscape. Protein ...