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Protein and Protein Structure02:15

Protein and Protein Structure

77.8K
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...
77.8K
Protein Organization01:24

Protein Organization

6.2K
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....
6.2K
Protein and Protein Structures02:15

Protein and Protein Structures

10.3K
10.3K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.4K
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...
12.4K
Ligand Binding Sites02:40

Ligand Binding Sites

12.6K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
12.6K
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

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相关实验视频

Updated: May 23, 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

Published on: November 3, 2011

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轻RoseTTA:高效和准确的蛋白质结构预测使用轻重深度图形模型.

Xudong Wang1, Tong Zhang1, Guangbu Liu1

  • 1School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|March 26, 2025
PubMed
概括
此摘要是机器生成的。

一个新的深度图形网络LightRoseTTA,可以准确地有效地预测蛋白质结构. 这种轻量级的模型与RoseTTAFold竞争,需要更少的数据,并且训练更快,使蛋白质结构预测更容易获得.

关键词:
图表神经网络的神经网络轻量级的深度学习模型.蛋白质结构预测 蛋白质结构预测

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

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相关实验视频

Last Updated: May 23, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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科学领域:

  • 计算生物学是一种计算生物学.
  • 结构生物信息学 结构生物信息学
  • 机器学习在生物学中的应用

背景情况:

  • 准确的蛋白质结构预测对于生物研究至关重要.
  • 现有的深度学习模型,如RoseTTAFold,看起来有前途,但资源密集.

研究的目的:

  • 开发一个高度准确和高效的蛋白质结构预测模型.
  • 为了降低蛋白质结构预测的计算成本和数据要求.

主要方法:

  • 实施LightRoseTTA,一个轻量级的深度图形网络.
  • 在基准数据集 (CASP14,CAMEO) 和MSA不足数据集 (孤儿,De novo,孤儿25) 上进行培训和评估.
  • 与RoseTTAFold相比,训练时间,参数数量和性能的比较.

主要成果:

  • 轻RoseTTA实现了与RoseTTAFold相比具有竞争力的精度.
  • 显著减少了训练时间 (1周而不是30天) 和参数数量 (1.4M而不是130M).
  • 在MSA不足的数据集上表现优异,并证明可转移到抗体数据.

结论:

  • LightRoseTTA为蛋白质结构预测提供了一种可行和高效的替代方案,特别是在资源有限的环境中.
  • 轻量化方法使先进的蛋白质结构预测能力实现了民主化.
  • 开源发布旨在加速生物研究.