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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
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RNA Interference01:23

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RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
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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. 
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PIWI-interacting RNAs, or piRNAs, are the most abundant short non-coding RNAs. More than 20,000 genes have been found in humans that code for piRNAs while only 2000 genes have been found for miRNAs. piRNAs can act at the transcriptional and post-transcriptional levels and have a vital role in silencing transposable elements present in germ cells. They are also involved in epigenetic silencing and activation. Previously, they were thought to function only in germ cells but new evidence suggests...
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RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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相关实验视频

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mRNA Interactome Capture from Plant Protoplasts
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SeqMG-RPI:一个基于序列的框架,集成多尺度RNA特征和蛋白质图,用于RNA-蛋白质相互作用预测.

Teng Ma1, Mingjian Jiang1, Shunpeng Pang2

  • 1School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China.

Journal of chemical information and modeling
|April 22, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了SeqMG-RPI,这是一种用于预测RNA-蛋白相互作用 (RPI) 的新方法. 使用新的神经网络架构,SeqMG-RPI通过整合多尺度RNA特征和基于图形的蛋白质特征来提高预测准确性.

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科学领域:

  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • RNA-蛋白相互作用 (RPI) 是细胞过程的基础.
  • 准确的RPI预测对于理解分子机制和疾病研究至关重要.
  • 现有的RPI预测方法通常依赖于单个特征,限制其性能和通用性.

研究的目的:

  • 开发一种新的,准确的基于序列的方法来预测RNA-蛋白相互作用 (RPI).
  • 通过整合多样化的特征表示来改进现有的RPI预测方法.
  • 提高对RPI的理解,以促进分子和疾病研究.

主要方法:

  • 提出SeqMG-RPI,一种新的基于序列的RPI预测方法.
  • 集成的多尺度RNA特征:多通道,k-mer频率和k-mer稀疏矩阵.
  • 利用基于图形的蛋白质特征来全面捕获蛋白质信息.
  • 开发了一种用于集成特征提取和RPI预测的新型神经网络架构.

主要成果:

  • 与现有的 RPI 预测方法相比,SeqMG-RPI 显示出更高的性能.
  • 多个数据集的实验结果证实了该方法的有效性.
  • 拟议的方法表现出增强的性能和概括能力.

结论:

  • 在基于序列的RPI预测中,SeqMG-RPI提供了显著的进步.
  • 多尺度RNA和基于图形的蛋白质特征的整合对于RPI预测是有效的.
  • 开发的神经网络架构为改善RPI预测准确性和概括性提供了一个强大的框架.