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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

14.9K
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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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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 Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
9.1K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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相关实验视频

Updated: Jan 15, 2026

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

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一个可概括的深度学习框架,用于基于结构的蛋白质-连接体亲和度排名.

Benjamin P Brown1

  • 1Department of Pharmacology, Center for AI in Protein Dynamics, Vanderbilt University, Nashville, TN 37232.

Proceedings of the National Academy of Sciences of the United States of America
|October 16, 2025
PubMed
概括
此摘要是机器生成的。

一个新的深度学习框架,CORDIAL (Covolutional Representation of Distance-dependent Interactions with Attention Learning),提高了预测蛋白质-连接体结合亲缘关系的概括性. 这种方法侧重于交互签名,在新型蛋白质家族上表现优于其他机器学习模型.

关键词:
计算机辅助药物设计深度学习是一种深度学习.可以概括的概括性.虚拟选 虚拟选 虚拟选

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

  • 计算化学是一种计算化学.
  • 药物发现 药物发现
  • 机器学习 机器学习

背景情况:

  • 估计蛋白质 - 配体结合亲缘关系对于药物发现至关重要.
  • 目前的方法在准确性和速度之间面临着一个权衡.
  • 机器学习 (ML) 模型在概括性方面扎,在新型蛋白质或化学结构上失败.

研究的目的:

  • 开发一种可通用的机器学习模型,用于预测蛋白质-连接体结合亲缘关系.
  • 为了克服当前ML模型的局限性,这些模型在未见的数据上失败.
  • 调查假设虚假的相关性阻碍了ML模型的概括性.

主要方法:

  • 引入了CORDIAL (与注意力学习的距离依赖交互的共进化表示),这是一个深度学习框架.
  • 设计的CORDIAL具有诱导偏差,用于学习取决于距离的物理化学相互作用特征.
  • 明确避免了蛋白质和配体化学结构的直接参数化,专注于相互作用.

主要成果:

  • 通过离开超级家庭的验证,Cordial 证明了持续的预测性能和校准.
  • 这种方法有效地模拟了对新型蛋白质家族的预测.
  • 当代ML模型在类似的验证条件下显示性能下降.

结论:

  • 将特定任务的物理化学原理编码到ML架构中可以提高概括性.
  • CORDIAL提供了一种经过验证的策略,用于开发基于结构的药物发现的强大,可通用的模型.
  • 在CORDIAL中,只有交互的方法是有效的,用于预测跨不同蛋白质家族的结合亲和关系.