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 ...

In searching for a possible therapeutic target to stop the progress of this disease, an international scientific team, led by ...

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.