Deepak Koirala

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.

This study determines the structural plasticity of HIV-1 RRE stem-loop II and shows how it modulates Rev binding and nuclear export of viral RNA.