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Messenger RNA (mRNA) sequences as therapeutics require optimized design to ensure efficient translation, structural stability, and minimal immunogenicity. This study presents a two-stage in-silico framework that integrates deep learning and…

Computation and Language · Computer Science 2026-05-28 Dhawa Sang Dong , Mausam Gurung , Suraj Kandel

Messenger RNA (mRNA) vaccines are being used for COVID-19, but still suffer from the critical issue of mRNA instability and degradation, which is a major obstacle in the storage, distribution, and efficacy of the vaccine. Previous work…

The tasks of designing RNAs are discrete optimization problems, and several versions of these problems are NP-hard. As an alternative to commonly used local search methods, we formulate these problems as continuous optimization and develop…

Biomolecules · Quantitative Biology 2024-03-04 Ning Dai , Wei Yu Tang , Tianshuo Zhou , David H. Mathews , Liang Huang

The 5' UTR, a regulatory region at the beginning of an mRNA molecule, plays a crucial role in regulating the translation process and impacts the protein expression level. Language models have showcased their effectiveness in decoding the…

Machine Learning · Computer Science 2023-10-09 Yanyi Chu , Dan Yu , Yupeng Li , Kaixuan Huang , Yue Shen , Le Cong , Jason Zhang , Mengdi Wang

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 either minimum free energy (MFE)-based or ensemble-based…

Biomolecules · Quantitative Biology 2026-03-04 Tianshuo Zhou , David H. Mathews , Liang Huang

Understanding how 5' untranslated regions (5'UTRs) regulate mRNA translation is critical for controlling protein expression and designing effective therapeutic mRNAs. While recent deep learning models have shown promise in predicting…

Quantitative Methods · Quantitative Biology 2026-02-27 Yuxi Lin , Yaxue Fang , Zehong Zhang , Zhouwu Liu , Siyun Zhong , Zhongfang Wang , Fulong Yu

Designing RNA molecules has garnered recent interest in medicine, synthetic biology, biotechnology and bioinformatics since many functional RNA molecules were shown to be involved in regulatory processes for transcription, epigenetics and…

Machine Learning · Computer Science 2019-04-15 Frederic Runge , Danny Stoll , Stefan Falkner , Frank Hutter

Antibody design is valuable for therapeutic usage and biological research. Existing deep-learning-based methods encounter several key issues: 1) incomplete context for Complementarity-Determining Regions (CDRs) generation; 2) incapability…

Biomolecules · Quantitative Biology 2023-03-31 Xiangzhe Kong , Wenbing Huang , Yang Liu

Co-optimizing mRNA sequences for both codon optimality and secondary structure is crucial for producing stable and efficacious mRNA therapeutics. Codon optimization, which adjusts nucleotide sequences to enhance translational efficiency,…

RNA design is the search for a sequence or set of sequences that will fold into predefined structures, also known as the inverse problem of RNA folding. While numerous RNA design methods have been invented to find sequences capable of…

Biomolecules · Quantitative Biology 2024-08-13 Tianshuo Zhou , Wei Yu Tang , David H. Mathews , Liang Huang

While RNA technologies hold immense therapeutic potential in a range of applications from vaccination to gene editing, the broad implementation of these technologies is hindered by the challenge of delivering these agents effectively. Lipid…

Biomolecules · Quantitative Biology 2023-08-30 Daisy Yi Ding , Yuhui Zhang , Yuan Jia , Jiuzhi Sun

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 the exponentially large sequence space and exponentially many…

Machine Learning · Computer Science 2026-02-16 Milan Gautam , Ning Dai , Tianshuo Zhou , Bowen Xie , David Mathews , Liang Huang

Solving the RNA inverse folding problem is a critical prerequisite to RNA design, an emerging field in bioengineering with a broad range of applications from reaction catalysis to cancer therapy. Although significant progress has been made…

Quantitative Methods · Quantitative Biology 2019-03-07 Jade Shi , Rhiju Das , Vijay S. Pande

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 are designable. Recent advances in RNA designability have…

Data Structures and Algorithms · Computer Science 2026-04-28 Tianshuo Zhou , David H. Mathews , Liang Huang

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 fold into the target structure under the default (Turner) RNA…

Data Structures and Algorithms · Computer Science 2025-05-06 Tianshuo Zhou , Wei Yu Tang , Apoorv Malik , David H. Mathews , Liang Huang

mRNA technology has revolutionized vaccine development, protein replacement therapies, and cancer immunotherapies, offering rapid production and precise control over sequence and efficacy. However, the inherent instability of mRNA poses…

Biomolecules · Quantitative Biology 2025-03-26 Max Ward , Mary Richardson , Mihir Metkar

This paper investigates the robust transmission design (RTD) of a multi-cell device-to-device (D2D) underlaid cellular network with imperfect channel state information (CSI). The bounded model is adopted to characterize the CSI impairment…

Information Theory · Computer Science 2018-04-17 Hao Xu , Gordon L. Stüber , Wei Xu , Cunhua Pan , Jianfeng Shi , Zhaohui Yang , Ming Chen

Long non-coding RNA, microRNA, and messenger RNA enable key regulations of various biological processes through a variety of diverse interaction mechanisms. Identifying the interactions and cross-talk between these heterogeneous RNA classes…

Molecular Networks · Quantitative Biology 2020-12-10 Nhat Tran , Jean Gao

Intra-body nanonetworks hold promise for advancing targeted drug delivery (TDD) systems through molecular communications (MC). In the baseline MC-TDD system, drug-loaded nanomachines (DgNs) are positioned near the infected tissues to…

Emerging Technologies · Computer Science 2024-09-30 Ethungshan Shitiri , Akarsh Yadav , Sergi Abadal , Eduard Alarcón , Ho-Shin Cho

Accurate and efficient medical image segmentation is crucial but challenging due to anatomical variability and high computational demands on volumetric data. Recent hybrid CNN-Transformer architectures achieve state-of-the-art results but…

Image and Video Processing · Electrical Eng. & Systems 2025-07-28 Nand Kumar Yadav , Rodrigue Rizk , William CW Chen , KC Santosh
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