共转录RNA折叠的计算建模。

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-06-11 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.06.005
Lei Jin, Shi-Jie Chen
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引用次数: 0

摘要

RNA在转录时折叠。转录过程中的RNA折叠从根本上不同于热力学折叠。当热力学折叠达到平衡的结构集合时,共转录折叠是一个动力学过程,其中RNA结构随着转录过程中链的延长而进化。这种动态折叠途径导致共转录结构经常偏离热力学预测,因为系统很少达到平衡。由于这些共转录效应可以在成熟RNA的结构中持续存在,因此了解这一动力学过程至关重要。虽然共转录折叠的实验研究已经取得了成功,但它们仍然是资源密集型的。计算建模已经成为研究这些动态的一种越来越实用和强大的方法。这篇简短的综述检查了当前用于模拟共转录折叠的计算方法和工具,目的是促进我们对RNA折叠机制的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational modeling of cotranscriptional RNA folding.

An RNA folds as it is transcribed. RNA folding during transcription differs fundamentally from thermodynamic folding. While thermodynamic folding reaches an equilibrium ensemble of structures, cotranscriptional folding is a kinetic process where the RNA structure evolves as the chain elongates during transcription. This dynamic folding pathway causes cotranscriptional structures often to deviate from thermodynamic predictions, as the system rarely reaches equilibrium. Since these cotranscriptional effects can persist in the mature RNA's structure, understanding this kinetic process is crucial. While experimental studies of cotranscriptional folding have been successful, they remain resource-intensive. Computational modeling has emerged as an increasingly practical and powerful approach for investigating these dynamics. This short review examines current computational methods and tools for simulating cotranscriptional folding, with the goal of advancing our understanding of RNA folding mechanisms.

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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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