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相关概念视频

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

36.0K
VSEPR Theory for Determination of Electron Pair Geometries
36.0K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

8.0K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
8.0K
Molecular Geometry and Dipole Moments02:36

Molecular Geometry and Dipole Moments

14.0K
The VSEPR theory can be used to determine the electron pair geometries and molecular structures as follows:
14.0K
Molecular Models02:00

Molecular Models

40.4K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
40.4K
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

18.5K
18.5K
Molecular Shapes01:18

Molecular Shapes

58.6K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
58.6K

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相关实验视频

Updated: Sep 11, 2025

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

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LRTM:分子协会预测的左向右过渡矩阵.

Kai Zheng, Guihua Duan, Mengyun Yang

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括

    我们开发了左向右转移矩阵 (LRTM) 来预测分子关联,优于现有方法. 这种通用方法通过有效地建模分子网络,有助于生物探索和药物开发.

    科学领域:

    • 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.
    • 网络科学 网络科学

    背景情况:

    • 分子关联对于生物过程,诊断和药物开发至关重要.
    • 预测分子关联的现有计算方法通常是域特定的,需要复杂的预处理.
    • 准确的分子关联预测的通用方法仍然是一个挑战.

    研究的目的:

    • 提出一个通用的计算方法来预测分子关联.
    • 引入左向右转换矩阵 (LRTM) 用于建模分子双边网络.
    • 评估LRTM算法的性能和通用性.

    主要方法:

    • 从扩散模型的角度构建了两个过渡矩阵,以捕捉未定向的图形信息传播.
    • 模拟分子双部分网络中的链接的过渡概率.
    • 应用LRTM用于分子关联预测和链接预测任务.

    主要成果:

    • 与现有方法相比,LRTM算法在广泛的实验中表现出优越的性能.
    • LRTM显示了跨任务预测的潜力,表明其可概括性.
    • 案例研究证实了LRTM在实际生物应用中的有效性.

    更多相关视频

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    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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    Last Updated: Sep 11, 2025

    Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
    11:22

    Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

    Published on: January 30, 2018

    10.2K
    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
    07:08

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

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    A Protocol for Computer-Based Protein Structure and Function Prediction
    16:41

    A Protocol for Computer-Based Protein Structure and Function Prediction

    Published on: November 3, 2011

    68.9K

    结论:

    • 左向右转移矩阵为分子关联预测提供了一种强大而普遍的方法.
    • 该方法克服了特定领域模型和复杂预处理的局限性.
    • LRTM为推进生物探索和药物发现提供了有价值的工具.