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相关概念视频

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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Unsymmetric Bending - Angle of Neutral Axis01:15

Unsymmetric Bending - Angle of Neutral Axis

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Unsymmetrical bending occurs when a structural member is subjected to bending moments in a plane that does not align with the member's principal axes. This scenario typically arises in beams and other structural components when loads are applied at non-ideal angles, introducing complexities in stress analysis.
When a bending moment is applied at an angle θ concerning the vertical axis of a symmetrical member, it can be resolved into components along the member's principal...
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Predicting Molecular Geometry02:27

Predicting Molecular Geometry

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VSEPR Theory for Determination of Electron Pair Geometries
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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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¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

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At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
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Protein Complexes with Interchangeable Parts01:57

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相关实验视频

Updated: Jun 8, 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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参数化超复杂卷积网络用于准确的蛋白质骨干扭曲角度预测.

Wei Yang1, Shujia Wei1, Lei Zhang2

  • 1Henan Key Laboratory of Big Data Analysis and Processing, Henan Engineering Laboratory of Spatial Information Processing, School of Computer and Information Engineering, Henan University, Kaifeng, 475004, China.

Scientific reports
|November 8, 2024
PubMed
概括

一个新的深度学习模型PHAngle准确地从氨基酸序列直接预测蛋白质脊柱扭曲角度. 这种方法在性能和效率方面超越了现有的方法,利用新的超复杂卷积网络来增强蛋白质结构预测.

关键词:
嵌入功能是一个嵌入功能.参数化的超复杂卷积网络.预训练的蛋白质语言模型扭矩角度预测的方法

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科学领域:

  • 计算生物学 计算生物学
  • 结构生物信息学 结构生物信息学
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 从氨基酸序列预测蛋白质骨干扭曲角度对于理解蛋白质结构和功能至关重要.
  • 当前的方法通常依赖于耗时的多次序对齐来生成配置特征,限制预测速度和性能.
  • 预训练的蛋白质语言模型提供了有前途的嵌入功能,提高了预测准确性和计算效率.

研究的目的:

  • 开发一种新的,参数效率高的深度学习模型,用于预测蛋白质骨干扭曲角度.
  • 从蛋白质语言模型中解决高维和多样化的嵌入特征所带来的挑战.
  • 为了在使用基于序列的嵌入式的扭矩角度预测中实现最先进的性能.

主要方法:

  • 设计了PHAngle,这是一个参数化的超复杂卷积网络,专门针对蛋白质嵌入特性.
  • 使用参数化的超复杂线性和卷积层,重量参数作为克罗纳克积的和.
  • 在六个基准数据集上对PHAngle进行了评估:TEST2016,TEST2018,TEST2020_HQ,CASP12,CASP13和CASP-FM.

主要成果:

  • 在所有测试的基准数据集中,PHAngle在扭矩角度预测方面取得了最先进的性能.
  • 与九种现有方法相比,证明了更高的准确性.
  • 需要比现有的最先进方法要少得多的参数,这表明参数效率很高.

结论:

  • PHAngle在直接从氨基酸序列预测蛋白质骨干扭转角度方面取得了重大进展.
  • 该模型的效率和准确性突显了超复杂卷积网络的潜力,并为结构生物学嵌入特征.
  • 开发的方法为蛋白质结构预测任务提供了更快,更准确的替代方案.