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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

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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 Folding01:22

Protein Folding

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Overview
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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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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...
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相关实验视频

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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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灵活的蛋白质-合物对接与基于扩散的侧链包装.

Runze Zhang1,2, Xinyu Jiang1,2, Duanhua Cao1,3

  • 1Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.

Proceedings of the National Academy of Sciences of the United States of America
|December 24, 2025
PubMed
概括
此摘要是机器生成的。

一个新的框架PackDock使用人工智能和物理来建模蛋白质的灵活性和相互作用,通过识别有力的化合物和揭示关键的分子变化来改善药物发现.

关键词:
机器学习是机器学习.分子对接的分子对接.蛋白质结构预测 蛋白质结构预测

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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
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科学领域:

  • 计算生物学是一种计算生物学.
  • 结构生物学是结构生物学.
  • 药物发现 药物发现

背景情况:

  • 蛋白质灵活性对于生物功能和药物设计至关重要,但传统方法难以捕获它.
  • 准确地建模蛋白质-连接体相互作用需要考虑动态形状变化.

研究的目的:

  • 介绍PackDock,一个新的框架,整合了深度学习和基于物理的建模,用于蛋白质 - 配体相互作用分析.
  • 通过捕捉蛋白质灵活性和带诱导的结构变化来解决静态模型的局限性.

主要方法:

  • PackDock使用扩散模型 (PackPocket) 来采样各种绑定口袋形状.
  • 验证涉及侧链包装,重组和交叉对接的实验.
  • 该框架将深度学习与基于物理的模拟集成在一起.

主要成果:

  • 在各种计算实验中,PackDock成功地解决了蛋白质灵活性挑战.
  • 该框架确定了新的纳米分子亲和性化合物,它们具有针对目标蛋白质的独特支架.
  • 阐明了关键的氨基酸构造变化,由连接体结合引起的.

结论:

  • PackDock提供了一种强大的方法来模拟蛋白质-连接体相互作用,准确地表示蛋白质动态.
  • 该框架增强了对分子识别机制的理解.
  • PackDock为推进基础生物研究和药物发现工作提供了有价值的视角.