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Protein Organization01:24

Protein Organization

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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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Protein Organization01:13

Protein Organization

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Overview
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Protein Complex Assembly02:41

Protein Complex Assembly

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Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
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Protein Complex Assembly02:41

Protein Complex Assembly

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Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
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相关实验视频

Updated: Jan 10, 2026

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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基于序列衍生结构互补性的高精度蛋白质复杂结构建模.

Minghua Hou1, Yuhao Xia2, Pengcheng Wang1

  • 1College of Information Engineering, Zhejiang University of Technology, HangZhou, China.

Nature communications
|November 19, 2025
PubMed
概括
此摘要是机器生成的。

DeepSCFold通过基于序列的深度学习提高了蛋白质复杂结构预测的准确性. 这种新的管道超越了当前用于建模蛋白质-蛋白质相互作用的最先进方法.

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相关实验视频

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科学领域:

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

背景情况:

  • 蛋白质复合体对于生命活动至关重要.
  • 精确建模蛋白质复杂结构是具有挑战性的,尽管在单体预测的进步.
  • 现有的方法与链间相互作用信号作斗争.

研究的目的:

  • 介绍DeepSCFold,这是一个改进蛋白质复杂结构建模的新型管道.
  • 为了提高预测蛋白质-蛋白质相互作用和复杂结构的准确性.
  • 为了利用基于序列的深度学习进行结构预测.

主要方法:

  • DeepSCFold使用基于序列的深度学习模型.
  • 预测蛋白质-蛋白质结构相似性和相互作用概率.
  • 为复杂结构预测构建深度配对的多次序对齐 (MSAs).

主要成果:

  • DeepSCFold显著提高了蛋白质复杂结构预测的准确性.
  • 在CASP15的多重目标上,它比AlphaFold-Multimer和AlphaFold3在TM得分方面取得了卓越的改进.
  • 提高对SAbDab复合体上的抗体-抗原结合接口的预测成功率.

结论:

  • DeepSCFold有效地捕获使用序列衍生结构意识信息的蛋白质-蛋白质相互作用模式.
  • 超越了蛋白质复杂结构建模中最先进的方法.
  • 展现出一种超越传统共同进化信号的强大方法.