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相关概念视频

Solubility03:00

Solubility

20.8K
Solution, Solubility, and Solubility Equilibrium
A solution is a homogeneous mixture composed of a solvent, the major component, and a solute, the minor component. The physical state of a solution—solid, liquid, or gas—is typically the same as that of the solvent. Solute concentrations are often described with qualitative terms such as dilute (of relatively low concentration) and concentrated (of relatively high concentration).
In a solution, the solute particles (molecules,...
20.8K
Solution Formation02:16

Solution Formation

36.5K
There is no one solvent that can dissolve every type of solute. Some substances that readily dissolve in a certain solvent might be insoluble in a different solvent. A simple way to predict which substances dissolve in which solvent is the phrase "like dissolves like". This means that polar substances, such as salt and sugar, dissolve in a polar substance like water. In contrast, non-polar substances are more soluble in non-polar solvents such as carbon tetrachloride.
This selective...
36.5K
Entropy and Solvation02:05

Entropy and Solvation

8.2K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
8.2K
Factors Affecting Dissolution: Drug pKa, Lipophilicity and GI pH01:21

Factors Affecting Dissolution: Drug pKa, Lipophilicity and GI pH

3.0K
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...
3.0K
Factors Affecting Solubility04:01

Factors Affecting Solubility

36.5K
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Chȃtelier’s principle. Consider the dissolution of silver iodide:
36.5K
Bioavailability Enhancement: Drug Solubility Enhancement01:16

Bioavailability Enhancement: Drug Solubility Enhancement

199
Body:Bioavailability is a critical factor in determining a drug's effectiveness. It refers to the proportion of a drug that enters the circulation when introduced into the body and is, as a result, able to have an active effect. Enhancing bioavailability is essential for drugs with poor solubility, as it can significantly impact their therapeutic efficacy. Various methods are employed to increase the solubility of drugs, thereby enhancing their bioavailability.Micronization and nanonization are...
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相关实验视频

Updated: Jan 9, 2026

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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使用图形卷积网络预测二元溶剂混合物中的药物溶解度:一种全面的深度学习方法.

Masoud Amiri1, Farnaz Khaleseh2

  • 1Department of Biomedical Engineering, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran. masd.amiri@yahoo.com.

Scientific reports
|November 29, 2025
PubMed
概括

图形卷积网络 (GCNs) 准确地预测二元溶剂中的药物溶解度,显著提高了药物开发效率. 这种计算方法减少了实验需求,为药物配方提供了分子洞察力.

关键词:
二进制溶剂二进制溶剂深度学习是一种深度学习.药物溶解性 药物溶解性 药物溶解性图表卷积网络的图表卷积网络.分子属性预测的预测制药信息学 是一个医药信息学领域.

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相关实验视频

Last Updated: Jan 9, 2026

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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Diagonal Method to Measure Synergy Among Any Number of Drugs
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Self-Nanoemulsification of Healthy Oils to Enhance the Solubility of Lipophilic Drugs
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科学领域:

  • 计算化学计算化学
  • 药物发现 药物发现 药物发现
  • 机器学习 机器学习

背景情况:

  • 药物溶解性预测对于药物开发至关重要,但传统上依赖于耗时的实验方法.
  • 准确的可溶性预测加速了配方设计,降低了开发成本.

研究的目的:

  • 评估图形卷积网络 (GCNs) 以预测各种温度的二元溶剂混合物中的药物溶解度.
  • 评估与传统机器学习方法相比,GCNs的性能,以预测可溶性.

主要方法:

  • 利用了包括27,000个小分子,溶剂和二进制混合物的溶解度测量的广泛数据集.
  • 开发了一个GCN架构,具有多头注意力,层次学习和用于分子相互作用分析的高级聚合.
  • 进行了废弃研究和注意力可视化,以了解模型行为并确定关键结构-可溶性关系.

主要成果:

  • GCN模型实现了0.28可溶性单位的平均绝对误差 (MAE),表现比传统方法高15%.
  • 在模拟药物相关化合物的结构-溶解性关系方面,GCNs表现出特别强大的优势.
  • 预期验证证实了预测可靠性,实验验证给出了类似化合物的MAE<0.5可溶性单位.

结论:

  • GCN是加速制药配方开发的强大工具,可能将实验需求减少60-80%.
  • 该研究强调了将图形神经网络集成到二元溶剂系统中的计算可溶性预测的有效性.
  • GCN中的注意力机制为药物开发提供了有价值的,可解释的分子洞察力.