Multi-objective computational optimization of human 5' UTR sequences

Abstract

The computational design of 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' UTR sequences, key upstream elements of mRNA. However, fully automated design of 5' 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' 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.