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相关概念视频

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

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VSEPR Theory for Determination of Electron Pair Geometries
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Protein Folding01:22

Protein Folding

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Conformations of Cycloalkanes02:29

Conformations of Cycloalkanes

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Adolf von Baeyer attempted to explain the instabilities of small and large cycloalkane rings using the concept of angle strain — the strain caused by the deviation of bond angles from the ideal 109.5° tetrahedral value for sp3  hybridized carbons. However, while cyclopropane and cyclobutane are strained, as expected from their highly compressed bond angles, cyclopentane is more strained than predicted, and cyclohexane is virtually strain-free. Hence, Baeyer’s theory that...
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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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 Organization01:13

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相关实验视频

Updated: Jul 11, 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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通过序列聚类和AlphaFold2预测多重构造

Hannah K Wayment-Steele1, Adedolapo Ojoawo1, Renee Otten1,2

  • 1Department of Biochemistry, Brandeis University and Howard Hughes Medical Institute, Waltham, MA, USA.

Nature
|November 13, 2023
PubMed
概括
此摘要是机器生成的。

通过集群序列对齐,AF-Cluster使AlphaFold2能够预测其他蛋白质状态. 这种方法证实了变形蛋白质

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相关实验视频

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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科学领域:

  • 结构生物学
  • 计算生物学
  • 生物物理

背景情况:

  • 蛋白质的功能依赖于多个结构状态.
  • 可以改变这些状态的人口.
  • 它可以准确地预测单个蛋白质的结构.

研究的目的:

  • 开发一种采样替代蛋白质构成状态的方法.
  • 研究蛋白质结构的进化分布.
  • 测试突变对蛋白质状态的影响.

主要方法:

  • 通过序列相似性对多个序列对齐进行聚类.
  • 将AlphaFold2应用到不同的样本状态中.
  • 使用核磁共振光谱进行验证.
  • 设计和验证引发状态切换的突变.

主要成果:

  • AF-Cluster成功地对变形蛋白进行了采样.
  • 预测的 KaiB 形状分布在集群中.
  • 实验验证证了AF-Cluster对KaiB变异和突变的预测.
  • 为Mpt53确定了一个假定的替代状态.

结论:

  • AF-Cluster是一个强大的工具,用于探索蛋白质构成的景观.
  • 这种方法有助于了解蛋白质的功能和疾病机制.
  • 整合计算和实验方法将推动蛋白质科学.