在AstraZeneca使用预测性AI建模来增强DMTA
Gian Marco Ghiandoni1, Emma Evertsson2, David J Riley1
1Augmented DMTA Platform, R&D IT, AstraZeneca, The Discovery Centre (DISC), Francis Crick Avenue, Cambridge CB2 0AA, UK.
Drug discovery today
|March 9, 2024
概括
人工智能和云计算简化了药物发现. 阿斯特拉泽内卡的预测洞察平台 (PIP) 加快了设计-制造-测试-分析周期,减少了识别可行的候选药物的代时间.
科学领域:
- 药物的发现和开发.
- 计算化学是一种计算化学.
- 制药科学 制药科学
背景情况:
- 传统的设计-制造-测试-分析 (DMTA) 循环是代的,可能需要多个循环来确定可行的候选药物.
- 人工智能 (AI) 和云计算方面的进步有可能优化和加快药物发现过程.
研究的目的:
- 介绍预测洞察平台 (PIP),这是一个在AstraZeneca开发的新型云原生建模平台.
- 在DMTA框架内讨论PIP的影响,架构,集成和使用.
- 提供对人工智能驱动药物发现未来的见解.
主要方法:
- 开发一个云原生建模平台 (PIP).
- 将PIP集成到设计-制造-测试-分析 (DMTA) 工作流中.
- 分析PIP对DMTA循环每个阶段的影响.
主要成果:
- 在DMTA循环的各个阶段,PIP提高了效率.
- 该平台的架构和集成促进了无的数据流和分析.
- 药物候选试剂 (PIP) 表明,它有可能显著减少用于候选药物识别所需的循环数.
结论:
- 预测洞察平台 (PIP) 代表了人工智能驱动药物发现的重大进步.
- 在DMTA循环中PIP的应用加速了可行的候选药物的识别.
- 该平台为制药研发的未来轨迹提供了有价值的见解.
相关概念视频
Therapeutic Drug Monitoring: Overview and Classification
Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood at designated intervals to ensure the drug concentration stays within a therapeutic range. This monitoring is crucial for optimizing individual dosage regimens, enhancing therapeutic efficacy, and minimizing drug-related toxicity. TDM is vital for drugs with narrow therapeutic windows, significant variability in pharmacokinetics, and a clear correlation between plasma levels and...
Therapeutic Drug Monitoring: Affecting Factors
Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
Therapeutic Drug Monitoring: Drug Analysis Methods
Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).


