Eterna is Solved
Artificial Intelligence
2025-05-06 v1
Authors:
Tristan Cazenave
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.
Cite
@article{arxiv.2505.02110,
title = {Eterna is Solved},
author = {Tristan Cazenave},
journal= {arXiv preprint arXiv:2505.02110},
year = {2025}
}
Related papers
View all related →
Biomolecules · Quantitative Biology
Fast and Versatile RNA Design via Motif-level Divide-and-Conquer and Structure-level Rival Search
Tianshuo Zhou, David H. Mathews, Liang Huang
2026-03-04
Machine Learning · Computer Science
Learning to Design RNA
Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter
2019-04-15
Data Structures and Algorithms · Computer Science
Probabilistic RNA Designability via Interpretable Ensemble Approximation and Dynamic Decomposition
Tianshuo Zhou, David H. Mathews, Liang Huang
2026-04-28
Quantitative Methods · Quantitative Biology
SentRNA: Improving computational RNA design by incorporating a prior of human design strategies
Jade Shi, Rhiju Das, Vijay S. Pande
2019-03-07
Biomolecules · Quantitative Biology
Sampling-based Continuous Optimization with Coupled Variables for RNA Design
Wei Yu Tang, Ning Dai, Tianshuo Zhou, David H. Mathews +1
2024-12-13
Biomolecules · Quantitative Biology
Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition
Tianshuo Zhou, Wei Yu Tang, David H. Mathews, Liang Huang
2024-08-13
Biomolecules · Quantitative Biology
Messenger RNA Design via Expected Partition Function and Continuous Optimization
Ning Dai, Wei Yu Tang, Tianshuo Zhou, David H. Mathews +1
2024-03-04
Data Structures and Algorithms · Computer Science
Scalable and Interpretable Identification of Minimal Undesignable RNA Structure Motifs with Rotational Invariance
Tianshuo Zhou, Wei Yu Tang, Apoorv Malik, David H. Mathews +1
2025-05-06
Quantitative Methods · Quantitative Biology
Combinatorial RNA Design: Designability and Structure-Approximating Algorithm
Jozef Haleš, Ján Maňuch, Yann Ponty, Ladislav Stacho
2015-06-22
Machine Learning · Computer Science
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya K. Joshi, Arian R. Jamasb, Ramon Viñas, Charles Harris +4
2025-02-26
Artificial Intelligence · Computer Science
Generalized Nested Rollout Policy Adaptation with Limited Repetitions
Tristan Cazenave
2024-01-22
Quantitative Methods · Quantitative Biology
Flexible RNA design under structure and sequence constraints using formal languages
Yu Zhou, Yann Ponty, Stéphane Vialette, Jérôme Waldispühl +2
2013-08-02
Biomolecules · Quantitative Biology
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu +3
2024-03-08
Quantitative Methods · Quantitative Biology
GoForth: Language Models for RNA Design under Structure, Sequence, and Coding Constraints
Michael Lindsey
2026-05-11
Biological Physics · Physics
RNA secondary structure design
Bernd Burghardt, Alexander K. Hartmann
2015-06-26
Biomolecules · Quantitative Biology
Algorithm for Optimized mRNA Design Improves Stability and Immunogenicity
He Zhang, Liang Zhang, Ang Lin, Congcong Xu +10
2024-02-08
Biomolecules · Quantitative Biology
Sampling-based Continuous Optimization for Messenger RNA Design
Feipeng Yue, Ning Dai, Wei Yu Tang, Tianshuo Zhou +2
2026-03-09
Biomolecules · Quantitative Biology
RNACG: A Universal RNA Sequence Conditional Generation model based on Flow-Matching
Letian Gao, Zhi John Lu
2025-03-11
Machine Learning · Computer Science
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao +1
2020-06-11
Biomolecules · Quantitative Biology
Machine learning for RNA-targeting drug design
Wissam Karroucha, Carlos Oliver, Veronique Stoven, Vincent Mallet
2025-12-18
Biomolecules · Quantitative Biology
Machine Learning for RNA Secondary Structure Prediction: a review of current methods and challenges
Giuseppe Sacco, Giovanni Bussi, Guido Sanguinetti
2026-05-20
Biomolecules · Quantitative Biology
Evolving methods for rational de novo design of functional RNA molecules
Stefan Hammer, Christian Günzel, Mario Mörl, Sven Findeiß
2019-05-13
Biomolecules · Quantitative Biology
mRNA Folding Algorithms for Structure and Codon Optimization
Max Ward, Mary Richardson, Mihir Metkar
2025-03-26
Quantitative Methods · Quantitative Biology
Fixed-Parameter Tractable Sampling for RNA Design with Multiple Target Structures
Stefan Hammer, Yann Ponty, Wei Wang, Sebastian Will
2018-06-24
Formal Languages and Automata Theory · Computer Science
Programmable Co-Transcriptional Splicing: Realizing Regular Languages via Hairpin Deletion
Da-Jung Cho, Szilárd Zsolt Fazekas, Shinnosuke Seki, Max Wiedenhöft
2025-07-01