Inside each cell of the human body are proteins that control which genes are expressed at the right place and time. However, ...

A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

Medically reviewed by Suzanne Fisher, RD Protein is crucial for maintaining a healthy and well-functioning body. It plays a ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...

In a comprehensive review published in MedComm – Future Medicine, researchers elucidate the transformative impact of deep learning technologies on protein structure prediction. This review ...

Predicting proteins’ structure from their amino acid sequences had stumped researchers since the 1970s. But in 2020, Hassabis and Jumper developed an artificial intelligence model called AlphaFold2.

In 2003, Baker and his team generated the first de novo protein, a 93-amino acid protein called Top7. 1 According to Baker, the fact that the X-ray structure of Top7 aligned well with their ...

Work on protein structure and design wins the 2024 chemistry Nobel. Proteins drive much of the chemistry underlying all life on Earth. David Baker (left) figured out how to build new proteins.

The structure of the protein ApoB100, which encases low-density lipoproteins ... Thank you for taking time to provide your feedback to the editors. Your feedback is important to us.