Multi-objective computational optimization of human 5′ UTR sequences
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.
Authors
- Koji Hashimoto (ORCID: https://orcid.org/0000-0001-8024-0060)
- Naoko Abe (ORCID: https://orcid.org/0000-0001-6062-3515)
- Hiroshi Abe (ORCID: https://orcid.org/0000-0003-0048-3789)
- Michiaki Hamada (ORCID: https://orcid.org/0000-0001-9466-1034)
- Kanta Suga
- Fumitaka Hashiya (ORCID: https://orcid.org/0000-0003-1546-4126)
- Keisuke Yamada (ORCID: https://orcid.org/0000-0003-1256-9299)
- Seiji Tsutsumi
- Masahito Inagaki (ORCID: https://orcid.org/0000-0001-9556-4586)
Institutions
- Waseda University (JP)
- Nagoya University (JP)
- National Institute of Advanced Industrial Science and Technology (JP)
- The University of Tokyo (JP)
- University of Pennsylvania (US)
- Nippon Medical School (JP)
Publication Details
- Journal
- Briefings in Bioinformatics
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1093/bib/bbaf225
- Citations
- 2
- Primary Topic
- RNA and protein synthesis mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- Japan Agency for Medical Research and Development
- Collaborative Research in Engineering, Science and Technology Centre
- Japan Society for the Promotion of Science
- Core Research for Evolutional Science and Technology