前阶段:通过使用蛋白质嵌入和图形卷积网络预测突变对蛋白质稳定性的影响
Gen Li1, Sijie Yao1, Long Fan1
1Production and R&D Center I of LSS, GenScript (Shanghai) Biotech Co., Ltd., Shanghai 200131, China.
Journal of chemical information and modeling
|January 3, 2024
概括
我们开发了ProSTAGE,这是一种深度学习方法,使用结构和序列数据准确预测突变如何影响蛋白质稳定性. 这个工具有助于蛋白质的设计和理解遗传变异.
科学领域:
- 生物化学 生物化学
- 计算生物学 计算生物学
- 结构生物学 结构生物学
背景情况:
- 蛋白质热力学稳定性对于理解蛋白质结构-功能关系和相互作用至关重要.
- 预测突变对蛋白质稳定性的影响有助于蛋白质的设计,并解释表型变异.
- 蛋白质嵌入方法显示出模拟依赖序列的生物背景的前景.
研究的目的:
- 介绍ProSTAGE,这是一种用于预测单点突变后蛋白质稳定性变化的新型深度学习方法.
- 整合结构和序列蛋白质信息,以提高预测准确度.
- 为预测工具的实际应用提供一个用户友好的Web服务器.
主要方法:
- 开发了ProSTAGE,这是一个融合基于图形的技术和语言模型的深度学习模型.
- 使用组合结构和序列嵌入作为输入特征.
- 在一个广泛的数据集上训练模型,几乎是S2648数据集的大小的两倍.
主要成果:
- 在独立的基准数据集上,ProSTAGE的表现始终优于现有的最先进的方法.
- 与以前的方法相比,使用蛋白质嵌入物显著提高了预测准确性.
- 证明了蛋白质语言模型在预测蛋白质稳定性突变影响方面的潜力.
结论:
- ProSTAGE提供了一种更快,更准确的方法来预测突变对蛋白质稳定性的影响.
- 结构和顺序数据的融合增强了预测能力.
- 蛋白质语言模型对推进变异效应预测和蛋白质工程具有重大前景.
相关概念视频
Protein Networks
4.0K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.0K
Conservation of Protein Domains Over Different Proteins
10.9K
Protein domains are small structurally independent units that are part of a single amino acid chain. Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
10.9K
Covalently Linked Protein Regulators
6.8K
Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....
These groups modify specific amino acids in a protein....
6.8K
Mutations
82.5K
Overview
82.5K
Protein Folding
8.0K
Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
8.0K
Conserved Binding Sites
4.2K
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...
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...
4.2K


