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Updated: Jun 11, 2025

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一种深度学习驱动的采样技术,用于探索RNA干环的相空间

Ayush Gupta1, Heng Ma2, Arvind Ramanathan2

  • 1William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, United States.

Journal of chemical theory and computation
|October 7, 2024
PubMed
概括

深度学习方法DeepDriveMD (DDMD) 通过从模拟中进行自适应式学习,有效地研究RNA干循环折叠. 这种方法克服了传统方法的局限性,使得可以在降低计算成本的情况下准确地估计自由能源景观.

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RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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