Roger Castells‐Graells

The paper designs and validates self-assembling protein cages using helical fusion and machine learning, achieving precise structures with high resolution and molecular mass accuracy.

The paper identifies conserved residues in Old-World alphaviruses that govern capsid structure and traces their evolutionary divergence, suggesting reduced assembly efficiency in New-World lineages may contribute to attenuation.

This study uses cryo-EM to determine structural models of five intermediates in the maturation pathway of Nudaurelia capensis omega virus, revealing key structural changes during viral maturation.

This paper introduces Plica-1, a physics-based method for predicting large symmetric protein complex structures, achieving high accuracy and speed.

The paper designs a symmetry-broken tetrahedral protein cage by modifying subunits to display a single copy of an outward-facing domain.

The paper designs new protein cages using machine learning and fragment-based methods, reporting their structures and insights into assembly success and failure.

The paper introduces designed fluorescent protein cages that target specific subcellular locations in mammalian cells for imaging, demonstrating their ability to penetrate cells and be detected with confocal microscopy.