人类5' UTR序列的多目标计算优化。

IF 6.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Keisuke Yamada, Kanta Suga, Naoko Abe, Koji Hashimoto, Susumu Tsutsumi, Masahito Inagaki, Fumitaka Hashiya, Hiroshi Abe, Michiaki Hamada
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引用次数: 0

摘要

信使RNA (mRNA)序列的计算设计是科学研究和工业应用的关键技术。预测和优化模型的最新进展已经能够自动评分和优化$5^\prime $ UTR序列,这是mRNA的关键上游元件。然而,具有两个以上客观分数的$5^\素数$ UTR序列的全自动设计尚未被探索。在这项研究中,我们提出了一个计算管道,在多目标框架中优化人类$5^\prime $ UTR序列,解决多达四个不同且相互冲突的目标。我们的工作代表了mRNA序列多目标计算设计的重要进展,为更复杂的mRNA工程铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
Briefings in bioinformatics
Briefings in bioinformatics 生物-生化研究方法
CiteScore
13.20
自引率
13.70%
发文量
549
审稿时长
6 months
期刊介绍: Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.
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