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共转录RNA折叠的计算建模

Computational modeling of cotranscriptional RNA folding.

作者信息

Jin Lei, Chen Shi-Jie

机构信息

Department of Physics and Astronomy, Department of Biochemistry, Institute of Data Sciences and Informatics, University of Missouri, Columbia, MO 65211, USA.

出版信息

Comput Struct Biotechnol J. 2025 Jun 11;27:2638-2648. doi: 10.1016/j.csbj.2025.06.005. eCollection 2025.

Abstract

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.

摘要

RNA在转录过程中会发生折叠。转录过程中的RNA折叠与热力学折叠有着根本的不同。热力学折叠会达到一个结构的平衡集合,而共转录折叠是一个动力学过程,在此过程中,RNA结构会随着转录过程中链的延长而演变。这种动态折叠途径导致共转录结构常常偏离热力学预测,因为系统很少达到平衡。由于这些共转录效应会在成熟RNA的结构中持续存在,所以理解这个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成功,但它们仍然资源密集。计算建模已成为研究这些动力学的一种越来越实用且强大的方法。这篇简短的综述探讨了当前用于模拟共转录折叠的计算方法和工具,目的是增进我们对RNA折叠机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b69b/12212151/27461d3dfc15/gr001.jpg

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