A new study presents computational strategies to manipulate membrane protein folding and function for biotechnological applications.

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Engineers are turning to animal origami, from insects that tuck away wings to a protist with an accordion-like neck, for ...

Successes of protein science during the past century have provided a high level of understanding of the relationships between the protein structure and ...

A team with Professor Krishna Shrinivas designed a computational framework using machine learning algorithms to design ...

Cellular membrane proteins play many important roles throughout the body, including transporting substances in and out of the ...

For decades, Alzheimer’s disease has been like an unbreakable fortress. Scientists have tried everything to chip away at the sticky clumps of beta-amyloid proteins that build up in the brain — a toxic ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Physiology or medicine was the third prize area Alfred Nobel mentioned in his will laying out his wishes for the Nobel Prize.

A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Researchers from Tokyo Metropolitan University have developed a new structure determination method using Nuclear Magnetic Resonance (NMR) spectroscopy which shows how different parts of complex ...