All Competitors

Modular deep-learning framework for 3D-structure-based RNA sequence design, pairing a direct GNN predictor (SCRU-Seq) and a diffusion model (SCRU-Diff) built on self-contained RNA units.

All-atom E(3)-equivariant diffusion model that refines RNA structures by resolving steric clashes and completing missing atoms.

Generative RNA inverse-design model that produces sequences conditioned on a target 3D backbone, secondary structure, and partial sequence constraints.

Mamba-based mature RNA foundation model using contrastive learning on splice isoforms and 400+ mammalian species orthologs for mRNA property prediction.