The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug ...

Designed proteins are anticipated to have groundbreaking impact on a range of issues from treating disease to tackling environmental problems. With a ...

Proteins that fold over free-energy barriers ≤ 3RT are classified as downhill folders. This regime is characterized by equilibrium unfolding that is proportionally broader and more complex the lower ...

IonQ ($IONQ), a leader in quantum computing, is deepening its footprint in South Korea while setting a new industry benchmark in quantum ...

When proteins are made in a cell, they start out as strings of amino acids, which have to be folded into the correct, 3D ...

Kipu Quantum and IonQ (NYSE: IONQ) announced what they said is a record achievement: the successful solution of "the most ...

Kipu Quantum and IonQ (NYSE: IONQ) announced what they said is a record achievement: the successful solution of “the most complex known protein folding problem” using Kipu’s algorithmic framework and ...

Kipu Quantum, a leader in application and hardware-specific quantum computing solutions, and IonQ (NYSE: IONQ), a leading ...

One of the great biological mysteries of the human body is how hundreds of complex, origami-like proteins, many of which are ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

Scientists have developed a new machine learning framework that has shown the potential to be more accurate at inverse protein folding than existing state-of-the-art methods.

ConspectusThe function of proteins as biological nanomachines relies on their ability to fold into complex 3D structures, bind selectively to partners, and undergo conformational changes on cue. The ...