The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce ...

In the rapidly advancing field of computational biology, a review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The review, published in ...

The AI-based program AlphaFold predicts a protein’s 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...

The newly developed experiment-guided AlphaFold technology (green) can predict protein structures across a wider conformational space than the existing AlphaFold3 (red). Provided by Maddipatla et ...

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 ...

Recently, SandboxAQ launched what it claims is the largest publicly available dataset of protein-ligand pairs with annotated experimental binding potency data. According to the company, the ...

Ribonucleic acid (RNA) molecules may be best known for their job ferrying the genetic information encoded in DNA to a cell's protein factories, but these molecules aren't just a middleman for protein ...

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,” ...