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相关概念视频

Protein-Drug Binding: Mechanism and Kinetics01:16

Protein-Drug Binding: Mechanism and Kinetics

144
Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
144
Drug Distribution: Plasma Protein Binding01:29

Drug Distribution: Plasma Protein Binding

4.4K
Drugs predominantly attach to plasma proteins, with only a small percentage remaining unbound. The unbound portion can be calculated as one minus the bound fraction. Acidic drugs form large, inactive complexes by reversibly binding to plasma albumin, which prevents them from diffusing across biological barriers. These drug-protein complexes act as reservoirs for the drugs. As the concentration of unbound drugs decreases, these complexes quickly dissociate to release the free drug, maintaining...
4.4K
Factors Affecting Protein-Drug Binding: Drug Interactions01:23

Factors Affecting Protein-Drug Binding: Drug Interactions

61
Drug interactions are a critical aspect of pharmacology and can occur when two or more drugs compete for the same binding site. This competition can result in one drug displacing another, altering the effect of the displaced drug. Drug interactions are complex processes that rely heavily on how much of the displacer drug is present and how strongly it can bind to the same sites as the displaced drug.
Displacement interactions can have varying outcomes, ranging from toxicity to virtually...
61
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.4K
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...
12.4K
Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

80
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...
80
Nonlinear Pharmacokinetics: Bioavailability and Protein-Drug Binding01:22

Nonlinear Pharmacokinetics: Bioavailability and Protein-Drug Binding

77
When a drug follows nonlinear pharmacokinetics, its bioavailability, the amount of the drug that reaches the systemic circulation, can change with different doses. This is due to the presence of a saturable pathway. The pathway becomes saturated as the drug concentration increases, decreasing the absorption rate. Consequently, the drug's bioavailability may be lower than expected at higher doses.
To quantify the extent of bioavailability, pharmacologists often use a parameter called .
77

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相关实验视频

Updated: May 10, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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基于在不平衡数据中改进的支持向量数据描述,预测药物蛋白相互作用.

Alireza Khorramfard1, Jamshid Pirgazi1, Ali Ghanbari Sorkhi1

  • 1Department of Electrical and Computer Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran.

BioImpacts : BI
|April 21, 2025
PubMed
概括

预测药物与蛋白质相互作用对于药物发现至关重要. 新的VASVDD方法使用机器学习来提高准确性和效率,优于现有技术.

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算机化药物发现技术
  • 机器学习 机器学习

背景情况:

  • 预测药物蛋白相互作用 (DPI) 对于有效的药物发现至关重要.
  • 传统的实验室方法用于DPI预测是昂贵和耗时的.
  • 计算方法,特别是机器学习,提供了一个更有效的替代方案.

研究的目的:

  • 介绍VASVDD,一种用于预测药物蛋白相互作用的新型多步计算方法.
  • 在DPI预测中解决不平衡数据集和高维度的挑战.
  • 提高药物向相互作用分析的效率和预测性能.

主要方法:

  • 从蛋白质氨基酸序列和药物结构中提取特征.
  • 使用支持向量数据描述 (SVDD) 进行可靠的数据平衡.
  • 采用变量自动编码器 (VAE) 来显著减少尺寸性 (1074到32个特征).

主要成果:

  • 在四个不同的生物数据集中,VASVDD显著改善了分类指标 (准确度,灵敏度,特异性,F1分数).
  • 该方法在PCA和内核PCA等标准尺寸缩小技术上表现出优异的性能.
  • 与现有的最先进的方法相比,VASVDD在多个分类器中实现了更高的AUROC值.
关键词:
深度学习是一种深度学习.药物蛋白相互作用 药物蛋白相互作用支持矢量数据数据的支持.不平衡的数据不平衡的数据.变量自动编码器变量自动编码器

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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

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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

Published on: February 23, 2024

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相关实验视频

Last Updated: May 10, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

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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

Published on: February 23, 2024

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结论:

  • VASVDD是一种有效和可通用的工具,用于预测药物向相互作用.
  • 该方法为生物信息学应用提供了更高的准确性,稳定性和计算效率.
  • 在计算药物发现方面,VASVDD是一个有前途的进步.