Multi-objective computational optimization of human 5' UTR sequences.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 40413870.
- Also identified by DOI 10.1093/bib/bbaf225 and PMC identifier 12103902.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
The computational design of messenger RNA (mRNA) sequences is a critical technology for both scientific research and industrial applications. Recent advances in prediction and optimization models have enabled the automatic scoring and optimization of $5^\prime $ UTR sequences, key upstream elements of mRNA. However, fully automated design of $5^\prime $ UTR sequences with more than two objective scores has not yet been explored. In this study, we present a computational pipeline that optimizes human $5^\prime $ UTR sequences in a multi-objective framework, addressing up to four distinct and conflicting objectives. Our work represents an important advancement in the multi-objective computational design of mRNA sequences, paving the way for more sophisticated mRNA engineering.
Medical subject headings
- 5' Untranslated Regions
- Computational Biology
- Sequence Analysis, RNA