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相关概念视频

Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
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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The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.8K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
4.8K
Ligand Binding Sites02:40

Ligand Binding Sites

12.8K
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...
12.8K
Valence Bond Theory02:42

Valence Bond Theory

8.5K
Coordination compounds and complexes exhibit different colors, geometries, and magnetic behavior, depending on the metal atom/ion and ligands from which they are composed. In an attempt to explain the bonding and structure of coordination complexes, Linus Pauling proposed the valence bond theory, or VBT, using the concepts of hybridization and the overlapping of the atomic orbitals. According to VBT, the central metal atom or ion (Lewis acid) hybridizes to provide empty orbitals of suitable...
8.5K
Molecular Models02:00

Molecular Models

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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.
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相关实验视频

Updated: Jun 20, 2025

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
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Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

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一个空间地图:一个有利的选择,以限制绑定问题.

Zhixian Han1, Anne B Sereno1,2,3

  • 1Department of Psychological Sciences, Purdue University, West Lafayette, IN, United States.

Frontiers in computational neuroscience
|July 17, 2024
PubMed
概括
此摘要是机器生成的。

人工神经网络模仿人类视觉系统.

关键词:
卷积神经网络是一种卷积神经网络.皮质地图 - - 皮质地图.深度学习是一种深度学习.功能集成 功能集成 功能集成它们是视网拓的.两个流的假设假设.视觉感知 视觉感知 视觉感知

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Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis
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F&#246;rster Resonance Energy Transfer Mapping: A New Methodology to Elucidate Global Structural Features
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Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis
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科学领域:

  • 计算神经科学是一种计算神经科学.
  • 人工智能的人工智能是人工智能.
  • 认知科学是一种认知科学.

背景情况:

  • 人类视觉系统具有明显的腹部 (物体识别) 和背部 (空间认知) 路径.
  • 带有分离路径的人工神经网络显示出更好的对象识别和空间定位精度.
  • 之前的研究表明,身份和空间信息通过分离的人工途径进行独立处理.

研究的目的:

  • 解决人工神经网络中的对象绑定问题,处理具有不同属性的多个对象.
  • 为了调查哪个属性地图 (身份,亮度,方向或位置) 最好限制绑定问题.
  • 为了比较不同地图在复杂视觉场景中解决属性绑定方面的有效性.

主要方法:

  • 开发具有分离身份和空间处理途径的人工神经网络.
  • 模拟具有多个属性的视觉对象:身份,亮度,方向和位置.
  • 系统地评估不同的属性图 (身份,亮度,方向,位置) 以限制绑定问题.

主要成果:

  • 当属性独立时,位置地图证明在限制绑定问题时优于身份,亮度或定向地图.
  • 这些发现支持这样一个假设:空间或视网膜组织对于绑定视觉属性至关重要.
  • 人工网络证明了位置地图有效地解决了多个对象属性的绑定.

结论:

  • 位置地图最有效地限制了具有独立属性的人工视觉系统中的绑定问题.
  • 这项研究的结果与神经生理学证据一致,这些证据强调视觉皮层组织的视网膜性质.
  • 这项研究提供了关于大脑如何结合对象属性的见解,并为更复杂的人工视觉系统的设计提供了信息.