R3Design:基于深层三级结构的RNA序列设计及超越。

IF 6.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Cheng Tan, Yijie Zhang, Zhangyang Gao, Hanqun Cao, Siyuan Li, Siqi Ma, Mathieu Blanchette, Stan Z Li
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引用次数: 0

摘要

核糖核酸(RNA)分子的合理设计对于推进治疗应用、合成生物学和理解生命的基本原理至关重要。传统的RNA设计方法主要集中在基于二级结构的序列设计上,往往忽略了复杂而重要的三级相互作用。我们介绍了R3Design,这是一种基于三级结构的RNA序列设计方法,它将范式转移到优先考虑RNA序列设计中的三级结构。R3Design显著增强了在天然RNA主干上的序列设计,实现了较高的序列恢复和Macro-F1评分,大大优于传统的基于二级结构的方法。通过使用先进的结构预测模型验证这些预测,我们证明R3Design可以设计出折叠成所需三级结构的RNA序列。该方法可通过独立软件获得,为三级RNA的设计、折叠和评估提供了一个全面的工具包。我们的研究结果证明了R3Design在设计RNA序列方面的卓越能力,在多个数据集的恢复评分和Macro-F1评分方面都达到了约44%。这不仅表明了该模型的准确性和公平性,而且强调了其推动基于RNA的创新疗法发展和加深我们对RNA生物学理解的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
R3Design: deep tertiary structure-based RNA sequence design and beyond.

The rational design of Ribonucleic acid (RNA) molecules is crucial for advancing therapeutic applications, synthetic biology, and understanding the fundamental principles of life. Traditional RNA design methods have predominantly focused on secondary structure-based sequence design, often neglecting the intricate and essential tertiary interactions. We introduce R3Design, a tertiary structure-based RNA sequence design method that shifts the paradigm to prioritize tertiary structure in the RNA sequence design. R3Design significantly enhances sequence design on native RNA backbones, achieving high sequence recovery and Macro-F1 score, and outperforming traditional secondary structure-based approaches by substantial margins. We demonstrate that R3Design can design RNA sequences that fold into the desired tertiary structures by validating these predictions using advanced structure prediction models. This method, which is available through standalone software, provides a comprehensive toolkit for designing, folding, and evaluating RNA at the tertiary level. Our findings demonstrate R3Design's superior capability in designing RNA sequences, which achieves around $44\%$ in terms of both recovery score and Macro-F1 score in multiple datasets. This not only denotes the accuracy and fairness of the model but also underscores its potential to drive forward the development of innovative RNA-based therapeutics and to deepen our understanding of RNA biology.

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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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