Protein dynamics and intrinsic disorder represent a paradigm shift in our understanding of protein structure and function. Rather than depending solely on a single stable three‐dimensional structure, ...

Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered proteins with custom properties, addressing nearly 30% of all human proteins ...

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

Researchers create Disobind, an AI tool predicting protein interactions, advancing disease biology and drug design applications.

(1) The lock-and-key model of protein interactions has dominated biology for more than a century, shaping how scientists study molecular communication and approach the development of novel ...

Deep learning tools for protein design can also be used to create molecules that bind to them. Certain peptides, such as intrinsically disordered proteins (IDPs), are challenging to target due to ...

Inside each cell of the human body are proteins that control which genes are expressed at the right place and time. However, intriguingly, many of the most important proteins involved in gene ...

Intrinsically disordered proteins must compete for binding to common regulatory targets to carry out their biological functions. Previously, we showed that the activation domains of two disordered ...

Several years ago as someone who was transitioning from X-Ray to CryoEM I had genuine fear about what the future held for my field, and whether I really would be as Baker and AlQuraishi have said they ...