Deeper collaboration between EMBL-EBI and Google DeepMind brings updates to the AlphaFold Database Source image: AlphaFold ...

Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...

Recent advances in computational biology have revolutionised the field of protein structure and function prediction. Traditionally, determining the three‐dimensional architecture of a protein from its ...

In the hunt for new therapeutics for cancer and infectious diseases, lasso peptides prove to be a catch. Their knot-like ...

Proteins are the workhorses that keep our cells running, and there are many thousands of types of proteins in our cells, each ...

The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. These ...

The question has been lingering for years in medical science circles. Since 2020, when the artificial intelligence (AI) model AlphaFold made it possible to predict protein structures, would the ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

A U.S. research team has proposed a method for designing 'intrinsically disordered proteins' (IDPs), an area that has proven ...

The Alphafold machine learning system for predicting a protein’s structure from its amino acid sequence has been adapted to make it possible to design de novo proteins that fold in a particular way ...

In this Q&A, Latent Labs CEO and AlphaFold co-developer Simon Kohl explains how generative A.I. is transforming biology from a science of prediction to one of design, why programmable drug ...