人工智能 (AI) 对药物发现的近期进展
Mahroza Kanwal Khan1, Mohsin Raza2, Muhammad Shahbaz2
1College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, China.
Frontiers in chemistry
|June 17, 2024
概括
人工智能 (AI) 正在通过提高效率和实现新进展来彻底改变医学,特别是药物发现领域. 这项调查探讨了人工智能应用,挑战和战略,以便在开发新药时有效使用它.
科学领域:
- 医疗信息学 医疗信息学
- 计算化学计算化学
- 药理学 药理学是指药理学的学科.
背景情况:
- 人工智能 (AI) 在医学发展上越来越有影响力.
- 人工智能有可能在医学研究的准确性和效率方面取得重大进展.
- 人工智能与药物发现的整合正在迅速扩大.
研究的目的:
- 在药物发现中提供人工智能的全面概述.
- 检查当前的人工智能应用及其相关好处.
- 确定传统药物设计的局限性,并探索人工智能驱动的解决方案.
主要方法:
- 对用于药物发现的AI技术的审查,包括定量结构-活性关系 (QSAR) 和定量结构-属性关系 (QSPR).
- 虚拟查和新药设计方法的分析.
- 探索人工智能实施中的数据访问和伦理考虑.
主要成果:
- 像QSAR,QSPR,虚拟查和de novo设计这样的AI技术越来越多地用于药物发现.
- 人工智能展示了在识别新药候选者的速度和准确性方面取得前所未有的进步的潜力.
- 数据访问和伦理问题等限制需要仔细考虑.
结论:
- 人工智能具有显著的潜力,可以彻底改变药物发现和开发.
- 解决当前的挑战和局限性对于最大限度地提高人工智能的影响至关重要.
- 这项调查提供了关于人工智能的作用和制药研究未来方向的见解.
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