基于深度学习的药物向亲和力预测近期进展的综合性审查
Xin Zeng1, Shu-Juan Li2, Shuang-Qing Lv3
1College of Mathematics and Computer Science, Dali University, Dali, China.
Frontiers in pharmacology
|April 17, 2024
概括
深度学习显著提高了药物向亲和力 (DTA) 预测的准确性,克服了传统机器学习的局限性. 本综述详细介绍了深度学习模型和数据集,以推进药物发现工具.
科学领域:
- 计算生物学是一种计算生物学.
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
背景情况:
- 准确的药物向亲和力 (DTA) 计算对于药物应用,如药物选和设计至关重要.
- 传统的机器学习方法用于DTA预测往往缺乏所需的准确性.
- 深度学习为提高计算生物学中的DTA预测提供了一个有希望的途径.
研究的目的:
- 通过深度学习,对DTA预测的最新进展进行全面的审查.
- 支持研究人员开发新且高度精确的DTA预测方法.
- 分析数据集,药物/目标表示,以及用于DTA预测的深度学习模型.
主要方法:
- 用于DTA预测的常用公共数据集的统计分析.
- 对药物和目标的序列和结构表示的探索.
- 深度学习模型的解释和应用,包括CNN,RNN,变压器和GNN用于DTA预测.
主要成果:
- 像CNN,RNN,变压器和GNN这样的深度学习模型被有效地用于DTA预测.
- 分析突出了不同深度学习架构的独特优势和应用.
- 对用于DTA预测的最先进的深度学习方法进行了性能分析.
结论:
- 深度学习方法显示了提高DTA预测准确性的巨大潜力.
- 了解现有方法的优点和弱点对于未来的开发至关重要.
- 本次审查旨在促进创建高精度DTA预测工具,以加速药物发现.
更多相关视频
08:31Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
5.0K
10:21Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
2.5K
相关概念视频
Drug Discovery: Overview
10.4K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
10.4K
Drug-Receptor Interactions
8.3K
Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
8.3K
Targets for Drug Action: Overview
9.4K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
9.4K
Structure-Activity Relationships and Drug Design
1.9K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.9K
Protein-Drug Binding: Mechanism and Kinetics
2.1K
Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
2.1K
Pharmacogenomics: Identification of New Drug Targets
129
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
129
