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相关概念视频

Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

45
Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
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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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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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Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

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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...
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Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

196
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...
196
Factors Affecting Protein-Drug Binding: Protein-Related Factors01:20

Factors Affecting Protein-Drug Binding: Protein-Related Factors

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Drug binding to proteins is a key aspect of pharmacokinetics and can influence a drug's distribution, absorption, and elimination in the body. Several factors, including the drug's physiochemical properties, protein concentration, disease states, and the number of binding sites on the protein, influence this process.
The physicochemical properties of a drug play a significant role in its ability to bind to proteins. Lipophilic drugs, which dissolve in fats, oils, and lipids, can be...
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相关实验视频

Updated: Jul 7, 2025

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

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使用AlphaFold模型,如何准确地预测药物结合模式?

Masha Karelina1,2,3,4,5, Joseph J Noh2,3,4,5, Ron O Dror1,2,3,4,5

  • 1Biophysics Program, Stanford University, Stanford, United States.

eLife
|December 22, 2023
PubMed
概括

虽然AlphaFold 2精确地模拟了蛋白质结构,但其用于预测G蛋白结合受体的药物结合姿势的应用,与传统方法相比,其改进程度有限,影响了药物发现应用.

关键词:
在GPCR中,GPCR是指GPCR.发现药物的发现.同源性建模的同源性建模联结体姿势预测预测分子生物物理学分子生物物理学分子对接的分子对接.没有,没有,没有.小分子分子小分子结构生物学结构生物学

更多相关视频

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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A Protocol for Computer-Based Protein Structure and Function Prediction
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科学领域:

  • 计算生物学是一种计算生物学.
  • 结构生物信息学 结构生物信息学
  • 药物发现 药物发现

背景情况:

  • 蛋白质结构预测对于药物发现至关重要.
  • 机器学习,以AlphaFold 2 (AF2) 为例,已经提高了蛋白质结构预测的准确性.
  • 预测药物蛋白相互作用的AF2模型的实用性尚未完全阐明.

研究的目的:

  • 评估AlphaFold 2模型用于预测药物结合姿势的准确性.
  • 评估AF2模型在药物发现中针对G蛋白结合受体 (GPCRs) 的性能.

主要方法:

  • 对AF2模型与传统同质模型进行比较分析.
  • 评估AF2预测的蛋白质结构中的结合口袋精度.
  • 计算对接模拟用于预测AF2模型和实验结构上的联结姿势.

主要成果:

  • AF2模型比同源模型提供了GPCR结合口袋的显著更准确的表示.
  • 尽管口袋准确度有所提高,但与AF2模型的计算对接与同质模型相比,并不能产生明显更好的联结位预测.
  • 对AF2模型的对接精度大大低于对接到实验确定的蛋白质结构.

结论:

  • AlphaFold 2在预测蛋白质结合部位结构方面表现出色,但并不直接转化为改善药物结合的姿势预测准确性.
  • 目前的计算对接方法可能需要进一步开发,以充分利用AF2生成蛋白模型的准确性来发现药物.
  • 这些发现凸显了用于药物发现的预测蛋白质结构的局限性,并需要仔细考虑模型效用.