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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

14.8K
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...
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Ligand Binding Sites02:40

Ligand Binding Sites

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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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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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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Protein-Drug Binding: Determination Methods01:22

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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
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相关实验视频

Updated: Jan 9, 2026

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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不确定性量化使得可靠的深度学习能够用于蛋白质-连接体结合亲和力预测.

Milad Rayka1, S Shahab Naghavi2

  • 1Department of Physical and Computational Chemistry, Shahid Beheshti University, Tehran, 1983969411, Iran. miladrayka93@gmail.com.

Scientific reports
|December 4, 2025
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概括

本研究比较了深度学习模型的不确定性量化方法,这些模型预测了蛋白质-连接体结合亲和力. 使用前神经网络的Backprop的Bayes实现了药物发现的卓越性能和可靠的信心估计.

关键词:
贝叶斯神经网络是一个贝叶斯神经网络.深度学习是一种深度学习.药物发现 药物发现功能工程的特点工程.蛋白质 - 连接物结合亲和力.不确定性量化不确定性的量化.

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科学领域:

  • 计算化学是一种计算化学.
  • 机器学习在药物发现中的作用

背景情况:

  • 深度学习 (DL) 模型对于在药物设计中预测蛋白质 - 配体结合亲和力至关重要.
  • 当前的模型往往缺乏概括和信心估计,阻碍了可靠的决策.

研究的目的:

  • 为了比较5种不确定性量化方法用于DL模型,预测蛋白质-连接体结合亲和力.
  • 为此应用程序引入和评估Backprop的贝叶斯.

主要方法:

  • 深层组合,蒙特卡洛脱落,拉普拉斯近似,贝叶斯通过背prop,和证据神经网络的比较.
  • 使用防泄漏PDBBind数据集进行公正的评估.
  • 使用推送神经网络 (FFNN) 与扩展连接互动功能 (ECIF).

主要成果:

  • 与ECIF合作的FFNN和Backprop合作的Bayes显示出卓越的预测性能.
  • 贝斯由Backprop提供了高度可靠的不确定性量化和优秀的校准.
  • 这种方法在无需重新校准的情况下在多个评估指标中表现出色.

结论:

  • 贝叶斯由Backprop是一个有前途的方法,用于不确定性量化在蛋白质-连接体结合亲和力预测.
  • 这种方法提高了DL模型在药物发现中的可靠性和可重复性.
  • 结果支持积极学习驱动的模型开发,以实现更强大的药物设计.