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相关概念视频

Solubility Equilibria: Overview01:09

Solubility Equilibria: Overview

870
When a substance such as sodium chloride is added to water, it dissolves, forming an aqueous solution. The extent of dissolution is called solubility. The process of dissolution can exist in equilibrium, just like other chemical processes. Solubility equilibria are also called precipitation equilibria because the process of solubility can be reversible. The reverse of the solubility process is called precipitation.
Solubility is important in biological and environmental processes. A notable...
870
Solubility Equilibria03:07

Solubility Equilibria

53.3K
Solubility equilibria are established when the dissolution and precipitation of a solute species occur at equal rates. These equilibria underlie many natural and technological processes, ranging from tooth decay to water purification. An understanding of the factors affecting compound solubility is, therefore, essential to the effective management of these processes. This section applies previously introduced equilibrium concepts and tools to systems involving dissolution and precipitation.
The...
53.3K
Factors Affecting Solubility04:01

Factors Affecting Solubility

33.9K
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:
33.9K
Physical Properties Affecting Solubility02:19

Physical Properties Affecting Solubility

23.5K
Solutions of Gases in Liquids
As for any solution, the solubility of a gas in a liquid is affected by the attractive intermolecular forces between solute and solvent species. Unlike solid and liquid solutes, however, there is no solute-solute intermolecular attraction to overcome when a gaseous solute dissolves in a liquid solvent since the atoms or molecules comprising a gas are far separated and experience negligible interactions. Consequently, solute-solvent interactions are the sole...
23.5K
Chemical and Solubility Equilibria02:21

Chemical and Solubility Equilibria

4.2K
The free energy change associated with dissolving a solute in a liter of solvent is called the free energy of a solution, ΔGsolution. The overall ΔGsolution is expressed as the balance of ΔGinteraction against the always-favorable free-energy of mixing, ΔGmixing. Solution formation is favorable if  ΔGsolution is less than zero, whereas it is unfavorable if ΔGsolution is greater than zero. In short, for a solution to form and complete dissolution to take place,...
4.2K
Protein Organization01:24

Protein Organization

7.0K
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
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相关实验视频

Updated: Sep 11, 2025

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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SRPM-Sol:一种结构坚固的蛋白质多式模式,用于溶解性预测.

Wenhui Ge, Yang Tan, Huiqun Yu

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括

    这项研究介绍了SRPM-Sol,这是一种用于预测蛋白质溶解度的新型多式模式. 它通过整合各种数据,包括序列和物理化学性质,提高了准确性和稳定性,优于现有方法.

    科学领域:

    • 计算生物学是一种计算生物学.
    • 蛋白质科学是一种蛋白质科学.
    • 生物信息学是一种生物信息学.

    背景情况:

    • 蛋白质溶解性对于表达和净化至关重要,影响功能研究和实验成本.
    • 目前对蛋白质溶解性的深度学习模型通常依赖于有限的多式输入 (序列,结构) 并与预测错误作斗争.
    • 现有的多式联络方法忽略了影响蛋白质溶解度的关键因素,并且缺乏对结构不准确性的强度.

    研究的目的:

    • 开发一种新的多模式蛋白质可溶性预测模型 (SRPM-Sol),以提高准确性和稳定性.
    • 通过结合更广泛的输入特征来解决现有模型的局限性.
    • 使用新建的层次数据集来验证模型的性能.

    主要方法:

    • 开发了SRPM-Sol,一种利用ESM3框架的多式模式.
    • 集成多种数据类型:氨基酸序列,预测结构信息,二次结构序列和物理化学性质.
    • 创建了第一个层次数据集,PDE-Sol,按预测局部距离差异测试 (pLDDT) 成绩分类.

    主要成果:

    • 与基线方法相比,SRPM-Sol显示出更高的准确性和稳定性.
    • 该模型在PDE-Sol数据集的不同级别中有效执行,即使具有不确定的结构数据.

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    Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering
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    相关实验视频

    Last Updated: Sep 11, 2025

    A Protocol for Computer-Based Protein Structure and Function Prediction
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    Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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  • 多种多模式输入的整合证明对预测性能有好处.
  • 结论:

    • SRPM-Sol代表了多模式蛋白质可溶性预测的重大进步.
    • 该模型的多样化输入策略提高了预测的准确性和稳定性,特别是在存在结构性不确定性时.
    • PDE-Sol数据集为评估蛋白质可溶性预测模型提供了宝贵的资源.