Advances in cryo-electron microscopy (cryo-EM) for high-resolution imaging of biomolecules
in solution have provided new challenges and opportunities for algorithm development for …

Highlights•Cryo-EM structure determination involves numerous computational data
processing steps.•Many AI-based methods have been developed for cryo-EM data …

Cryo-electron microscopy (cryo-EM) is an imaging modality that provides unique insights
into the dynamics of proteins and other building blocks of life. The algorithmic challenge of …

Single-particle cryo-electron microscopy (cryo-EM) is a technique for biomolecular structure
reconstruction from vitrified samples containing many copies of a biomolecular complex …

Predicting the pose of objects from a single image is an important but difficult computer
vision problem. Methods that predict a single point estimate do not predict the pose of …

Abstract Coordinate networks like Multiplicative Filter Networks (MFNs) and BACON offer
some control over the frequency spectrum used to represent continuous signals such as …

The elucidation of three-dimensional (3D) structures is crucial for unravelling the protein
function and illuminating mechanisms in structural biology. Cryogenic electron microscopy …

The dynamics of biomolecules are crucial for our understanding of their functioning in living
systems. However, current 3D imaging techniques, such as cryogenic electron microscopy …

Single particle cryo-electron microscopy (cryo-EM) has emerged as the prevailing method
for near-atomic structure determination, shedding light on the important molecular …

Biomolecules undergo conformational changes to perform their function. Cryo-electron
microscopy (cryo-EM) can capture snapshots of biomolecules in various conformations …