量化动力学与属性关系:用机器学习对蛋白质动力学进行数据高效的蛋白质工程
1Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755, United States.
Journal of chemical information and modeling
|October 22, 2025
概括
这项研究引入了一种新的机器学习方法,该方法使用分子动力学模拟和有限的实验数据来高效地设计蛋白质. 这种方法有效地优化蛋白质变体,即使使用小数据集,也优于其他方法.
科学领域:
- 计算生物学 计算生物学
- 蛋白质工程是指蛋白质工程.
- 机器学习 机器学习
背景情况:
- 机器学习擅长预测蛋白质突变效应,但通常需要大量的训练数据.
- 用于培训的实验数据收集通常是昂贵和耗时的,限制了其可扩展性.
- 高通量分子动力学模拟提供了一个潜在的数据源,但在这个背景下未得到充分利用.
研究的目的:
- 利用有限的实验数据和分子动力学模拟,开发一种用于选择最佳蛋白质变体的新方法.
- 为了证明这种方法在蛋白质工程和定向进化的有效性.
- 建立一个实用的框架,将蛋白质动态信息整合到工程工作流程中.
主要方法:
- 利用在分子动力学模拟数据上训练的深度神经网络来生成动态属性描述符.
- 实验确定的一小组标签与这些动态描述符之间的量化关系.
- 应用这种方法来选择理想的蛋白质变体进行优化.
主要成果:
- 使用最小的实验数据实现了高度优化的蛋白质变体,超过了替代的监督机器学习方法.
- 根据有限的实验标签和动态与属性关系,准确预测影响蛋白质性质的关键残留物.
- 证明了关键的残留信息可以被发现,即使不能仅从模拟或实验数据中预测.
结论:
- 开发的方法为以模拟衍生动力学为指导的蛋白质工程提供了一个实用和高效的框架.
- 这种方法有效地利用了小型实验数据集,使蛋白质工程更容易获得和更具成本效益.
- 这项研究强调了将计算动力学与实验验证相结合的力量,以预测和优化蛋白质功能.
相关概念视频
Protein Dynamics in Living Cells
2.6K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.6K
Protein-protein Interfaces
14.4K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
14.4K
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
Physiological Pharmacokinetic Models: Assumption with Protein Binding
209
Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
209
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


