优化药物发现使用多任务模型量化结构-生物效应关系:文献的更新
Valeria V Kleandrova1, M Natália D S Cordeiro2, Alejandro Speck-Planche2
1Laboratory of Fundamental and Applied Research of Quality and Technology of Food Production, Russian Biotechnological University, Moscow, Russian Federation.
Expert opinion on drug discovery
|August 28, 2023
概括
量化结构-生物效应关系的多任务学习模型 (mtk-QSBER) 解决了药物发现的局限性,例如复杂疾病和耐药性. 这些模型通过使多目标药物发现成为可能,加速了对新疗法的搜索.
科学领域:
- 计算化学是一种计算化学.
- 药理学 药理学是指药理学的学科.
- 药物发现 药物发现
背景情况:
- 计算方法对于合理的药物发现至关重要.
- 目前的方法与多基因疾病和耐药性作斗争.
- 量化结构-生物效应关系 (mtk-QSBER) 模型的多任务学习提供了一个解决方案.
研究的目的:
- 审查mtk-QSBER模型的基本原理和应用.
- 为了突出它们在加速药物发现中的作用.
- 为了强调它们在多目标药物发现中的实用性.
主要方法:
- 对 mtk-QSBER 模型的现有文献的审查.
- 在药物发现的各个阶段对应用的分析.
- 讨论多目标药物发现的计算方法.
主要成果:
- mtk-QSBER模型有效地解决了传统计算方法的局限性.
- 这些模型加速了药物发现管道的多个阶段.
- 它们为多目标药物发现提供了有前途的途径.
结论:
- mtk-QSBER模型是现代药物发现的强大工具.
- 它们特别适合应对复杂疾病和耐药性.
- 它们的应用在各种治疗领域具有显著的潜力.
相关概念视频
Structure-Activity Relationships and Drug Design
767
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...
767
Drug Discovery: Overview
8.0K
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...
8.0K
Pharmacokinetic Models: Comparison and Selection Criterion
104
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
104
Pharmacokinetic Models: Overview
776
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
776
Quantitative Aspects of Drug-Receptor Interaction
1.0K
The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower...
1.0K
Multicompartment Models: Overview
178
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
178


