6 papers
Probabilistic RNA Designability via Interpretable Ensemble Approximation and Dynamic Decomposition
Tianshuo Zhou, David H. Mathews, Liang Huang
Motivation: RNA design aims to find RNA sequences that fold into a given target secondary structure, a problem also known as RNA inverse folding. However, not all target structures…
Sampling-based Continuous Optimization for Messenger RNA Design
Feipeng Yue, Ning Dai, Wei Yu Tang +3
Designing messenger RNA (mRNA) sequences for a fixed target protein requires searching an exponentially large synonymous space while optimizing properties that affect stability and…
Fast and Versatile RNA Design via Motif-level Divide-and-Conquer and Structure-level Rival Search
Tianshuo Zhou, David H. Mathews, Liang Huang
RNA design aims to identify RNA sequences that fold into a target secondary structure. This task is challenging in terms of computational efficiency. Most existing methods focus on…
Designing RNAs with Language Models
Milan Gautam, Ning Dai, Tianshuo Zhou +3
RNA design, the task of finding a sequence that folds into a target secondary structure, has broad biological and biomedical impact but remains computationally challenging due to t…
Scalable and Interpretable Identification of Minimal Undesignable RNA Structure Motifs with Rotational Invariance
Tianshuo Zhou, Wei Yu Tang, Apoorv Malik +2
RNA design aims to find a sequence that folds with highest probability into a designated target structure. However, certain structures are undesignable, meaning no sequence can fol…
Sampling-based Continuous Optimization with Coupled Variables for RNA Design
Wei Yu Tang, Ning Dai, Tianshuo Zhou +2
The task of RNA design given a target structure aims to find a sequence that can fold into that structure. It is a computationally hard problem where some version(s) have been prov…