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相关概念视频

Factors Affecting Dissolution: Drug pKa, Lipophilicity and GI pH01:21

Factors Affecting Dissolution: Drug pKa, Lipophilicity and GI pH

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Drug absorption within the gastrointestinal (GI) tract is a complex process influenced by several critical factors, including the site pH, the drug's dissociation constant (pKa), and the drug's lipophilicity. The GI tract exhibits a pH gradient, with an acidic environment in the stomach and a more alkaline environment in the small intestine. This pH variation directly affects the ionization state of drugs.
A drug's pKa and the pH of the gastrointestinal (GI) tract play crucial roles...
1.3K
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model

293
Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
293
Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

826
Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
826
Drug Absorption Mechanism: Passive Membrane Transport01:23

Drug Absorption Mechanism: Passive Membrane Transport

3.8K
Passive transport is a method of drug absorption where small, lipid-soluble drugs can move across the cell membrane. This movement happens along the concentration gradient, which is a natural flow from higher to lower concentration areas. The speed at which the drug moves is directly related to its lipid–water partition coefficient. This means that the more a drug dissolves in lipids, the faster it diffuses or spreads throughout the body. It is important to note that most drugs are either...
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相关实验视频

Updated: Jun 28, 2025

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid
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Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid

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在使用深集神经网络的终点设备上预测小分子溶解度.

Mayk Caldas Ramos1, Andrew D White1

  • 1Chemical Engineer Department, University of Rochester Rochester NY 14642 USA andrew.white@rochester.edu.

Digital discovery
|April 19, 2024
PubMed
概括

我们开发了一个深度学习模型来预测水溶性,提供准确和高效的结果与不确定性量化. 这种用户友好,无服务器的Web应用程序使得复杂的可溶性预测无需安装即可供研究人员使用.

科学领域:

  • 计算化学的计算化学
  • 机器学习在药物发现中的作用
  • 物理化学 物理化学

背景情况:

  • 预测水溶性至关重要,但使用传统方法计算密集.
  • 现有的数据驱动模型往往缺乏不确定性量化和易用性.
  • 基于集团的贡献方法仍然很受欢迎,因为它们的简单性.

研究的目的:

  • 开发一种深度学习模型,以准确高效地预测水溶性.
  • 将预测性不确定性量化纳入溶解性预测模型.
  • 创建一个用户友好的,无服务器的 Web 应用程序,以实现可访问性.

主要方法:

  • 开发了一个深度学习模型用于分子性质预测,特别是水溶性.
  • 在深度学习框架内实施了不确定性量化.
  • 在静态网站上部署模型,消除服务器需求,并启用客户端计算.

主要成果:

  • 深度学习模型在预测水溶性方面取得了令人满意的准确性.
  • 无服务器网络应用程序为可溶性预测提供了一个用户友好的界面.
  • 该方法成功地平衡了预测准确性,不确定性量化和易用性.

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结论:

  • 这项研究为水溶性预测提供了一种新的深度学习方法,克服了现有方法的局限性.
  • 无服务器网络应用程序使访问先进的计算化学工具变得民主化.
  • 开发的方法可以扩展到其他分子性质预测任务.