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相关概念视频

Protein Networks02:26

Protein Networks

4.4K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Protein Networks02:26

Protein Networks

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2.7K
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.4K
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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Protein-Protein Interfaces02:04

Protein-Protein Interfaces

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Conserved Binding Sites01:49

Conserved Binding Sites

5.0K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
5.0K
Proteomics01:33

Proteomics

9.2K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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相关实验视频

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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

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MsipNet:用于预测蛋白质-RNA相互作用的多尺度表示学习框架.

Nan Song1, Zhijin Li2, Yang Deng3

  • 1College of Artificial Intelligence, Nanjing Agricultural University, No. 666 Binjiang Avenue, Nanjing, Jiangsu 211800, China; Center for Data Science and Intelligent Computing, Nanjing Agricultural University, No. 666 Binjiang Avenue, Nanjing, Jiangsu 211800, China.

International journal of biological macromolecules
|December 25, 2025
PubMed
概括
此摘要是机器生成的。

一个新的框架MsipNet通过整合序列和结构数据,准确地预测蛋白质-RNA相互作用 (PRIs). 该工具增强了对基因调节和疾病机制的理解.

关键词:
卷积 卷积是指卷积的过程.动机 动机 动机蛋白质-RNA相互作用结构 RNA 结构 RNA 结构

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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution
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相关实验视频

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution
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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:

  • 蛋白质-RNA相互作用 (PRIs) 对于转录后基因调节至关重要,影响RNA剪接,稳定性和翻译.
  • 了解PRI对于阐明基因调节网络和与突变相关的疾病机制至关重要.
  • 准确的PRI识别桥梁基础研究和生物医学应用.

研究的目的:

  • 开发一个先进的计算框架来预测蛋白质-RNA相互作用.
  • 通过使用多式模式学习策略,提高PRI预测的准确性和效率.
  • 为优先考虑功能突变和推进机理学研究提供一个强大的工具.

主要方法:

  • 推出了MsipNet,一个多层次的代表性学习框架.
  • 集成的全球和本地RNA序列特征与结构信息.
  • 采用混合架构,结合长短期内存 (LSTM) 网络和U形卷积扩展卷积 (UCDC) 模块.

主要成果:

  • 在6个细胞系的42个RNA结合蛋白 (RBPs) 中,MsipNet的性能优于八种最先进的方法.
  • 在预测结合偏好和识别生物验证的结合动机方面表现卓越.
  • 在未见的数据上展示了强大的概括性,保持了高计算效率.

结论:

  • MsipNet是用于PRI预测的强大和可解释的工具.
  • 该框架对机理学研究和生物医学应用具有广泛的潜力,包括功能突变优先考虑.
  • MsipNet推动了计算生物学领域的发展,以了解基因调节和疾病.