ReviewBioinformatics and biology insights2026
Recent Progress in Sequence Optimization of mRNA Vaccine: Biological Mechanism, Quantitative Metrics, and Computational Model.
Review in Bioinformatics and biology insights, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a groundbreaking advancement in vaccinology, messenger RNA (mRNA) vaccines have transformed the field by offering rapid, flexible, and scalable solutions for combating infectious diseases. However, the efficacy, stability, and immunogenicity of mRNA vaccines are highly dependent on the optimization of their sequences. Recent progress in synthetic biology and computational methods has enabled the optimization of mRNA sequences to enhance their properties, holding the promise to provide deeper insights into the design principles of effective mRNA vaccines. However, it remains a major challenge to determine how to best optimize mRNA sequences for diverse biological contexts and therapeutic applications. In this review, we provide an in-depth analysis of the current advancements in optimizing mRNA vaccine sequences, put forward a comprehensive overview of the latest computational and biological approaches in this field, with a particular focus on the biological mechanisms underlying mRNA translation efficiency and stability, highlighting several quantitative indicators that may affect vaccines' performance, and summarize some methods to optimize mRNA vaccine by algorithms. We also propose the limitations of current models and the need for further research to address the complexity of biological systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.