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RNA Structure

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The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
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There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...

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Related Experiment Video

Updated: Jun 29, 2026

Use of Alu Element Containing Minigenes to Analyze Circular RNAs

Use of Alu Element Containing Minigenes to Analyze Circular RNAs

Published on: March 10, 2020

mRNASyner: An Integrative Framework for Full-Length mRNA Sequence Optimization via Multimodule Synergistic Design.

Zijie Gu¹, Gang-Ao Wang², Ziyan Feng¹

¹School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.

Molecular Pharmaceutics

|April 16, 2026

Summary

This summary is machine-generated.

This study introduces mRNASyner, a novel in silico framework for optimizing messenger RNA (mRNA) sequences. It enhances both translation efficiency and stability for advanced mRNA therapeutics.

Keywords:

UTR generation codon optimization deep learning long-sequence design mRNA design

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2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications

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Published on: December 1, 2023

Area of Science:

Biomedical engineering
Computational biology
Molecular biology

Background:

Messenger RNA (mRNA) therapeutics show great promise but require efficient translation and in vivo stability.
Current optimization methods often address sequence components individually, lacking global synergy.
Existing approaches struggle with long sequences and iterative refinement.

Purpose of the Study:

To develop a unified, interpretable in silico framework for full-length mRNA sequence design.
To integrate coding sequence (CDS) optimization, untranslated region (UTR) generation, and degradation modeling.
To enable synergistic optimization for improved mRNA therapeutic efficacy.

Main Methods:

Developed a computational framework (mRNASyner) for holistic mRNA sequence design.
Integrated CDS optimization, UTR generation, and mRNA degradation modeling.
Applied the framework to respiratory syncytial virus (RSV) vaccine sequence design.

Main Results:

mRNASyner demonstrated effective global, synergistic optimization of mRNA sequences.
Achieved a favorable balance between translational accessibility and structural stability in silico.
Successfully applied to RSV vaccine design, showcasing potential for personalized therapeutics.

Conclusions:

mRNASyner provides a novel solution for designing full-length mRNA sequences.
The framework supports long-sequence optimization and iterative refinement.
Offers a pathway for developing next-generation personalized mRNA therapeutics.