La-Ribo: RNA Co-Design via Geometry-Latent Flow Matching

arXiv:2610.12236 · q-bio.BM, cs.AI · Submitted 2026-10-08 · Read on arXiv

q-bio.BM, cs.AI

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/GENTEL-lab/La-Ribo

Terminology

• Flow Matching — 16× in this paper · explained in 8 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Distillation — 9× in this paper · explained in 2 episodes
• Latent Representation — 8× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Ablation — 3× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Angular Error — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Decode — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Inverse Design — 1× in this paper · explained in 2 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Self-distillation — 1× in this paper · explained in 6 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Fast protein backbone generation with SE(3) flow matching

Related papers

• Speak to a Protein: An Interactive Multimodal Co-Scientist
• Learning Topological Representations of Protein Structure and Dynamics
• p2smi: A Python Toolkit for Peptide FASTA-to-SMILES Conversion and Molecular Property Analysis
• UNAAGI: Atom-Level Diffusion for Generating Non-Canonical Amino Acid Substitutions
• Co-folding with a Soup of Representations
• Non-Markovain Quantum State Diffusion for the Tunneling in SARS-COVID-19 virus