Eterna is Solved

2025/05/04 by Tristan Cazenave, Cazenave, Tristan
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #DNA and Nucleic Acid Chemistry #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #RNA and protein synthesis mechanisms

paper · pdf · doi:10.48550/arxiv.2505.02110

openalex publication_date 2025/05/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

RNA design consists of discovering a nucleotide sequence that folds into a target secondary structure. It is useful for synthetic biology, medicine, and nanotechnology. We propose Montparnasse, a Multi Objective Generalized Nested Rollout Policy Adaptation with Limited Repetition (MOGNRPALR) RNA design algorithm. It solves the Eterna benchmark.

Citations

• Learning a Prior for Monte Carlo Search by Replaying Solutions to Combinatorial Problems
• Stabilized Nested Rollout Policy Adaptation
• Monte Carlo Inverse Folding
• Generalized Nested Rollout Policy Adaptation
• Generalized Nested Rollout Policy Adaptation
• Designing RNA Secondary Structures is Hard
• Fast folding and comparison of RNA secondary structures

Related

• DesiRNA: structure-based design of RNA sequences with a replica exchange Monte Carlo approach
• SentRNA: Improving computational RNA design by incorporating a prior of human design strategies
• Sampling-based Continuous Optimization with Coupled Variables for RNA Design
• Learning to Design RNA
• Structural alignments to design functional RNAs