ArticleBiotechnology and bioengineering2022
Maximizing mRNA vaccine production with Bayesian optimization.
Article in Biotechnology and bioengineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- IntegratedMolecular therapy. Nucleic acids · 2026Article
- A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction.Biotechnology and bioengineering · 2026Article
- High-throughput monitoring of free MgAnalytical and bioanalytical chemistry · 2026Article
- Next-generation neoantigen mRNA vaccines: Immuno-engineering strategies for precision cancer immunotherapy.Cellular oncology (Dordrecht, Netherlands) · 2026Review
- A Guide to Bayesian Optimization in Bioprocess Engineering.Biotechnology and bioengineering · 2026Review
- Iterative design of a NAND hybrid riboswitch by deep batch Bayesian optimization.Nucleic acids research · 2026Article
- Quality by design in public healthcare: a rapid development framework for future pandemics.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026Review
- Advancements and challenges in next-generation mRNA vaccine manufacturing systems.Clinical and experimental vaccine research · 2025Review
- Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry.Chemical Society reviews · 2025Review
- Bayesian Optimization in Bioprocess Engineering-Where Do We Stand Today?Biotechnology and bioengineering · 2025Review
- Characterisation and analysis of mRNA critical quality attributes using liquid chromatography based methods.Journal of chromatography. A · 2025Review
- mRNA-LM: full-length integrated SLM for mRNA analysis.Nucleic acids research · 2025Article
- Highly pathogenic avian influenza: pandemic preparedness for a scenario of high lethality with no vaccines.Frontiers in public health · 2025Article
- Article
- Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays.Biotechnology and bioengineering · 2025Article
- Recombinant T7 RNA polymerase production using ClearColi BL21(DE3) and animal-free media for in vitro transcription.Applied microbiology and biotechnology · 2024Article
- Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays.ArXiv · 2024Article
- A (RP)UHPLC/UV analytical method to quantify dsRNA during the mRNA vaccine manufacturing process.Analytical methods : advancing methods and applications · 2024Article
- Development of a capillary zone electrophoresis method to monitor magnesium ion consumption during in vitro transcription for mRNA production.Analytical and bioanalytical chemistry · 2024Article
- Comprehensive evaluation of T7 promoter for enhanced yield and quality in mRNA production.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Messenger RNA (mRNA) vaccines are a new alternative to conventional vaccines with a prominent role in infectious disease control. These vaccines are produced in in vitro transcription (IVT) reactions, catalyzed by RNA polymerase in cascade reactions. To ensure an efficient and cost-effective manufacturing process, essential for a large-scale production and effective vaccine supply chain, the IVT reaction needs to be optimized. IVT is a complex reaction that contains a large number of variables that can affect its outcome. Traditional optimization methods rely on classic Design of Experiments methods, which are time-consuming and can present human bias or based on simplified assumptions. In this contribution, we propose the use of Machine Learning approaches to perform a data-driven optimization of an mRNA IVT reaction. A Bayesian optimization method and model interpretability techniques were used to automate experiment design, providing a feedback loop. IVT reaction conditions were found under 60 optimization runs that produced 12 g · L
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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.