Jeanine Gezelle

The paper describes a Kaggle competition for RNA 3D structure prediction, showing that template-based methods can outperform deep learning approaches.

Structure providers for 18 CASP16 nucleic acid targets find blind predictions capture secondary structure but miss non-canonical interactions, backbone kinks, ligand sites, and intermolecular interfaces.

The paper determines the structure of a plant-virus xrRNA and shows it forms a pseudoknot that confers exoribonuclease resistance, revealing a conserved mechanism across diverse viruses.

This study shows that transposon-encoded nucleases use guide RNAs to bias transposon inheritance by cleaving donor joints formed during transposition.