人工智能在药物设计中的应用:一篇综述
Simrandeep Singh1, Navjot Kaur2, Anita Gehlot3
1Department of Electronics & Communication Engineering, UCRD, Chandigarh University, Gharuan, Punjab, India.
Computers in biology and medicine
|July 11, 2024
概括
人工智能 (AI) 通过分析大量的化合物数据来预测特性和优化开发来彻底改变药物发现. 这加快了制造更有效的药品的速度,降低了成本和时间.
科学领域:
- 计算机科学 计算机科学
- 药理学研究 药理学研究
- 药物开发 药物开发
背景情况:
- 传统药物开发是漫长,昂贵和低效的.
- 人工智能 (AI) 提供解决方案来自动化和优化制药过程.
- 人工智能整合了机器学习和深度学习,以解决复杂的问题.
研究的目的:
- 探索AI在制药行业的变革性影响.
- 突出AI在加速药物发现和开发中的作用.
- 为了证明AI在增强药理学研究方面的能力.
主要方法:
- 利用人工智能与机器学习和深度学习模型.
- 应用人工智能分析大量化合物的数据集并预测药物特性.
- 使用人工智能进行药物查,毒性预测和ADME属性分析.
主要成果:
- 人工智能显著提高了预测药物行为和相互作用的效率和准确性.
- 人工智能可以从广泛的药物池中检查具有所需性质的化合物.
- 人工智能增强了药物设计,导致更精确的药物发现过程.
结论:
- 人工智能整合正在重塑制药行业,特别是在研发领域.
- 人工智能的采用减少了与传统药物开发相关的时间和成本.
- 通过提高精度和预测,人工智能有助于开发更有效的药物.
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