In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction.

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 ...

David Baker, Demis Hassabis and John Jumper share the 2024 Nobel Prize in Chemistry for their contributions to the science of protein structure. David Baker was awarded half the prize “for ...

Scientists’ Work on Protein Structure, Which Governs All Aspects of Life, Wins Nobel Prize in Chemistry David Baker, Demis Hassabis and John M. Jumper revealed how amino acids shape protein ...

Profluent’s latest protein language model incorporates structural and functional context to decode the language of biology for fine-tuned protein design.

The researchers claim that AlphaFold3 is 50% more accurate than current software-based methods of predicting protein structures and their interactions with other molecules.

AlphaFold, software developed by Google’s DeepMind AI unit to predict the 3D structure of proteins, has received a significant upgrade.

The prediction of protein structure is difficult for a few reasons. First, there is a huge search space — every possible 3D position for each atom in each amino acid.

Google’s AI protein folder IDs structure where none seemingly existed Two intrinsically disordered proteins form a specific structure ID'ed by AlphaFold.

3D protein structure predictions made by an Artificial Intelligence can boost cancer research and drug discovery Reports and Proceedings Josep Carreras Leukaemia Research Institute ...

Meta’s AI model is a new protein-folding approach inspired by large language models that aims to predict the structures of the hundreds of millions of protein sequences in metagenomics databases.