早期药物发现和市场后药物评估中的基于人工智能的计算方法:一项调查
IEEE/ACM transactions on computational biology and bioinformatics
|November 6, 2024
概括
人工智能 (AI) 正在彻底改变药物发现和开发 (DDD). 这项调查审查了人工智能.
科学领域:
- 药理学和计算化学
背景情况:
- 人工智能 (AI) 正在越来越多地影响药物发现和开发 (DDD).
- 人工智能提供了新的方法来加速和优化DDD管道的各个阶段.
研究的目的:
- 为早期药物发现和市场后评估中最近的人工智能应用提供全面的审查.
- 突出AI如何增强治疗标识,药物标相互作用预测,分子设计和临床疗效评估.
主要方法:
- 在药物发现和开发中对AI应用的文献综述.
- 分析AI在目标识别,药物向相互作用 (DTI) 预测,新药设计和临床评估中的作用.
主要成果:
- 人工智能显著加快了治疗目标的识别和优先级.
- 人工智能提高了药物向相互作用 (DTI) 的预测准确度.
- 人工智能有助于设计新型类似药物的分子,并提高临床疗效的评估.
结论:
- 人工智能集成简化了早期药物发现和市场后评估.
- 人工智能的采用导致了更高效,更精确,更具成本效益的药物开发过程.
- 人工智能对于更快地将新和有效的疗法推向市场至关重要.
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