在药物交付革命的背景下,整合人工智能用于药物发现
Anita Ioana Visan1, Irina Negut1
1National Institute for Lasers, Plasma and Radiation Physics, 409 Atomistilor Street, 077125 Magurele, Ilfov, Romania.
Life (Basel, Switzerland)
|February 24, 2024
概括
人工智能 (AI) 正在通过加速新药开发和优化药物输送系统来彻底改变药物发现. 这项技术提供了创新的解决方案,以降低制药行业的成本和失败率.
科学领域:
- 制药科学 制药科学
- 计算生物学 计算生物学
- 人工智能的人工智能
背景情况:
- 药物开发是一个漫长,昂贵的过程,失败率很高.
- 人工智能 (AI) 呈现了制药研究中的范式转变.
- 人工智能为药物发现和开发中的复杂挑战提供了新的解决方案.
研究的目的:
- 探索AI在药物发现中的多样化应用.
- 检查AI在药物输送设计和新药识别中的作用.
- 提供人工智能方法及其对医疗保健的影响的概述.
主要方法:
- 审查人工智能方法,包括机器学习和深度学习.
- 在目标识别,虚拟查和药物设计中分析AI应用.
- 检查AI在药物重新定位和组合识别中的作用.
主要成果:
- 人工智能显著提高了识别药物点和设计新分子的效率.
- 人工智能有助于重新定位现有药物和发现新药组合.
- 由人工智能驱动的平台正在改变药物输送系统和整体药物开发.
结论:
- 人工智能是一个变革性的工具,对药物发现和医疗保健的未来有深远的影响.
- 整合人工智能有望降低与将新药推向市场相关的成本和时间.
- 人工智能领域的持续进步将打开新的机遇,并解决制药创新的挑战.
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