传递信息的神经网络用于分子性质预测的应用
Miru Tang1, Baiqing Li2, Hongming Chen2
1Guangzhou Laboratory, Guangzhou, 510005, Guangdong Province, China; Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, 510530, China; State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Current opinion in structural biology
|June 2, 2023
概括
传递信息的神经网络 (MPNNs) 擅长预测计算机辅助药物设计的分子特性. 本综述涵盖了MPNN模型及其在选分子图书馆中的使用,以确定潜在的药物线索.
科学领域:
- 化学信息学 化学信息学
- 计算化学计算化学
- 药物发现 药物发现 药物发现
背景情况:
- 分子性质预测对于计算机辅助药物设计至关重要.
- 准确的预测模型加速了大分子库的选,以识别化合物.
- 传递信息的神经网络 (MPNNs),一种图形神经网络 (GNN),对于这些任务越来越有效.
研究的目的:
- 为提供MPNN模型的简要概述.
- 突出MPNNs在分子性质预测中的应用.
- 总结使用MPNNs用于化学信息学任务的最新情况.
主要方法:
- 对MPNNs及其应用的现有文献的审查.
- 不同的MPNN架构的分类.
- 在分子性质预测任务中分析MPNN性能.
主要成果:
- 与其他用于分子性质预测的深度学习方法相比,MPNNs表现优越.
- 各种MPNN模型适用于广泛的分子特征预测.
- 该调查巩固了关于MPNN在化学信息学中的有效性的主要发现.
结论:
- MPNN代表了准确的分子性质预测的强大工具.
- 它们在药物设计中的应用可以显著提高化合物识别.
- 对MPNNs的持续研究有望在计算化学领域取得进一步的进步.
相关概念视频
Predicting Molecular Geometry
34.6K
VSEPR Theory for Determination of Electron Pair Geometries
34.6K
Classification of Neurotransmitters
3.1K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
3.1K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
101
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
101
Molecular Orbital Theory I
32.3K
Overview of Molecular Orbital Theory
32.3K
Molecular Weight of Step-Growth Polymers
2.2K
Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
2.2K
Molecular Models
38.7K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
38.7K


