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相关概念视频

Protein Organization01:24

Protein Organization

6.4K
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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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...
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Protein Folding01:22

Protein Folding

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Overview
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Protein and Protein Structure02:15

Protein and Protein Structure

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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
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Tail-anchoring of Proteins in the ER Membrane01:45

Tail-anchoring of Proteins in the ER Membrane

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Tail-anchored, or TA, proteins are estimated to make up to 3-5% of membrane proteins found in the eukaryotic cell. Such proteins have a single transmembrane domain located approximately 30 amino acid residues upstream from the C-terminal end. As a result, the signal recognition particle (SRP) cannot guide a TA protein to the ER membrane for cotranslational insertion. Hence, they are integrated into the ER membrane post-translationally using their C-terminal end as the anchor. TA proteins...
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Protein Families02:47

Protein Families

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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...
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Updated: Jun 21, 2025

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

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使用ProteStArAr进行高效的蛋白质结构存档.

Sebastian Deorowicz1, Adam Gudyś1

  • 1Department of Algorithmics and Software, Silesian University of Technology, Akademicka 16, Gliwice, PL-44100, Poland.

Bioinformatics (Oxford, England)
|July 10, 2024
PubMed
概括
此摘要是机器生成的。

使用一种新的预测方法,ProteStAr有效地压缩大型蛋白质结构文件 (CIF/PDB). 这种工具可显著减少大规模分析的数据大小,性能优于现有方法.

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科学领域:

  • 结构生物学是结构生物学.
  • 生物信息学是一种生物信息学.
  • 计算化学是一种计算化学.

背景情况:

  • DeepMind的AlphaFold 2可以生成数以百万计的CIF/PDB格式的蛋白质结构.
  • 大量的数据集 (几十兆字节) 阻碍了大规模的结构分析.
  • 现有的压缩方法对于预测的蛋白质结构数据是不够的.

研究的目的:

  • 介绍ProteStAr,它是一个专门用于蛋白质结构文件 (CIF/PDB) 和相关的PAE文件的压缩器.
  • 开发一种新的压缩方法,以高效地编码原子坐标.
  • 使预测的蛋白质结构能够更快,更容易获得的大规模分析.

主要方法:

  • 开发了一种新的算法,可以根据先前分析的原子来预测原子坐标.
  • 实现了无损和有损压缩模式,并可控制错误.
  • 优化了多核CPU的算法,实现了大约1GB/s的速度.
  • 为增强可用性提供了Python和C++ API.

主要成果:

  • 与BinaryCIF,Foldcomp和PDC相比,ProteStAr在可比重建精度下实现了更高的压缩比率.
  • 该方法有效地编码原子坐标,这是结构文件中最大的数据组件.
  • 高速压缩和解压缩 (大约. 1GB/s) 的杆多核架构.
  • 损失模式允许控制错误以进一步减少数据.

结论:

  • 在压缩大型蛋白质结构数据集方面,ProteStAr提供了显著的改进.
  • 该工具通过减少数据存储和传输要求,促进了大规模的结构生物信息学分析.
  • 它的速度,效率和可访问性 (通过API) 使它对研究人员有价值.