Prof Rivka Isaacson from King’s College London explains her excitement at what Google DeepMind’s latest AI model can do with protein prediction. The deep learning machine AlphaFold ...

This study introduces DeepUrfold, a deep learning model that uncovers subtle structural links between proteins, advancing the ...

Google’s sister company, DeepMind AI, has won the Nobel Prize in chemistry for an AI algorithm that could predict the secret ...

Biotech advances from UT’s new Deep Proteins group are changing the game ... Starting from either AlphaFold or ESM, another AI model that predicts a protein’s structure based on its amino acid ...

It’s worth noting that Hinton, often called the “godfather of AI,” is now a vocal advocate ... should be able to figure out the structure of a folded protein based on its building blocks ...

AlphaFold’s ability to accurately predict proteins’ 3D structures has ... team and Baker’s lab use AI to tackle two related problems that have captivated scientists for decades: how to determine a ...

Designing novel proteins with specific and desired functions is one of the major aims of biotechnology and medicine. However, it presents a complex challenge since protein function is dependent ...

In conjunction with the MIT/IBM Watson AI Lab ... 3d audio soundwave. Colorful music pulse oscillation. Glowing impulse pattern. Looking at the coronavirus’s spike protein structure, he ...

Considering the 3D structures of TCR–peptide complexes, which provide much more information, could potentially lead to better prediction outcomes. Methods: In this study, we developed TCRcost, a deep ...

Jumper from Google DeepMind for using AI to solve protein folding ... It helps researchers who have an exact protein structure in mind find amino acid sequences that fold into that shape.

Emerging protein-design competitions aim to sift out the functional from the fantastical. But researchers hope that the real ...