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相关概念视频

Proteomics01:33

Proteomics

7.3K
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...
7.3K
Ribosome Profiling02:24

Ribosome Profiling

3.5K
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.
The technique...
3.5K
Protein Networks02:26

Protein Networks

3.9K
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,...
3.9K
Protein Families02:47

Protein Families

15.3K
Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key...
15.3K
Proteins: From Genes to Degradation02:11

Proteins: From Genes to Degradation

12.1K
Within a biological system, the DNA encodes the RNA, and the nucleotide sequence in the RNA further defines the amino acid sequence in the protein. This is referred to as “The Central Dogma of Molecular Biology” - a term coined by Francis Crick.  Central dogma is a firm principle in biology that defines the flow of genetic information within any life form. The two fundamental steps in central dogma are - transcription and translation.
Transcription is the synthesis of RNA...
12.1K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.8K
Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
10.8K

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相关实验视频

Updated: Jun 22, 2025

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
07:38

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

Published on: April 11, 2019

12.7K

使用蛋白质语言模型解码模型生物中的功能蛋白质信息.

Israel Barrios-Núñez1, Gemma I Martínez-Redondo2, Patricia Medina-Burgos1

  • 1Computational Biology and Bioinformatics Group, Andalusian Center for Developmental Biology (CABD-CSIC), 41013 Sevilla, Spain.

NAR genomics and bioinformatics
|July 4, 2024
PubMed
概括
此摘要是机器生成的。

蛋白质语言模型在从整个蛋白质组中提取功能信息方面优于深度学习方法. 这些模型为大规模的生物数据分析提供了精确和信息化的方法.

更多相关视频

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

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相关实验视频

Last Updated: Jun 22, 2025

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
07:38

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

Published on: April 11, 2019

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An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

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A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 蛋白质语言模型 (PLM) 在精选的数据集上显示出希望,但缺乏对全蛋白质组的应用.
  • 对功能基因组学的机器学习 (ML) 方法的评估至关重要.

研究的目的:

  • 评估PLM与深度学习 (DL) 方法的性能,用于从模型生物质蛋白质中提取功能信息.
  • 确定PLM适用于大规模蛋白质组注释和分析的适用性.

主要方法:

  • 基于ML的两种方法 (PLM和DL) 在全蛋白质组上的比较分析.
  • 通过三种基因本体学 (GO) 和转录基因数据进行评估.
  • 在选定的模型生物体上进行测试.

主要成果:

  • 与DL方法相比,PLM在所有测试的物种和GO中显示出更高的精度和信息性.
  • PLM更有效地从转录原子实验中恢复功能信息.
  • 该研究确定了PLM作为蛋白质组范围的功能注释的强大工具.

结论:

  • 蛋白质语言模型对于从完整的蛋白质组中解码功能信息非常有效.
  • PLM为大规模的蛋白质组注释和下游分析提供了精确和可扩展的解决方案.
  • 提供了在生物研究中使用PLM的推指南.