基于自我注意力机制的蛋白质热稳定性趋势的预测驱动稀疏卷积网络
Pei Xu1, Kai Zhong1, Honghua Ge1
1Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China.
Computational biology and chemistry
|October 9, 2025
概括
这项研究介绍了SCSAddG,一种使用稀疏卷积网络和自我注意力进行蛋白质热稳定性预测的AI模型. 通过准确预测蛋白质稳定性和指导突变查,SCSAddG提高了蛋白质工程效率.
科学领域:
- 生物技术是生物技术.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 蛋白质工程依赖于有效的方法来预测蛋白质的热稳定性.
- 目前的方法,如突变查,耗时且资源密集.
- 人工智能 (AI) 具有加速蛋白质热稳定性预测的潜力.
研究的目的:
- 开发一个先进的AI模型,以改善蛋白质热稳定性预测.
- 提高蛋白质工程的效率,缩短开发周期.
- 整合多种数据类型,以便更准确地进行稳定性评估.
主要方法:
- 开发了SCSAddG,一个由自我注意力机制驱动的稀疏卷积网络.
- 集成的蛋白质序列,突变关系,以及编码的物理化学特性.
- 在一般 (S2648) 和特定 (转胺酶) 数据集上验证了模型.
主要成果:
- 在S2648数据集上,SCSAddG实现了高预测准确度 (0.868) 和AUROC (0.825).
- 在精度上表现优于传统的卷积神经网络 (CNN) 和罗塞塔生物信息软件.
- 在转氨酸胺酶数据集上表现出卓越的预测准确度 (0.744) 和精度 (1.000).
- 湿实验室实验证实了模型的预测,显示出强大的可靠性.
结论:
- SCSAddG有效地预测了蛋白质热稳定性的趋势.
- 该模型作为指导蛋白质热稳定性工程的宝贵工具.
- 人工智能驱动的方法显著提高了蛋白质工程的效率和准确性.
相关概念视频
Protein Denaturation
8.4K
The function of proteins depends on their native three-dimensional structure, which is dictated by the amino acid sequence of the specific protein. Folding of the polypeptide chain takes place under specific conditions that energetically favor the folded conformation. In contrast, protein denaturation occurs spontaneously under unfavorable conditions that disrupt the integrity of the folded conformation. Thus, the chemical and physical environment of a protein, such as significant changes in pH...
8.4K
Conservation of Protein Domains Over Different Proteins
14.0K
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...
14.0K
End Point Prediction: Gran Plot
1.1K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
For potentiometric titration, the Gran plot is created by plotting...
1.1K
Conserved Binding Sites
5.0K
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...
5.0K
Predicting Reaction Outcomes
10.0K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
10.0K
Protein Networks
4.5K
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,...
4.5K

