人工智能在药物发现中的作用
M K G Abbas1, Abrar Rassam2, Fatima Karamshahi3
1Center for Advanced Materials, Qatar University, P.O. Box, 2713, Doha, Qatar.
Chembiochem : a European journal of chemical biology
|May 12, 2024
概括
人工智能 (AI) 正通过提高药物设计和预测来彻底改变药物发现. 虽然人工智能提供了巨大的潜力,但必须解决数据质量和伦理方面的挑战,才能充分实现.
科学领域:
- 药学研究 药学研究
- 计算化学的计算化学
- 药物开发 药物开发
背景情况:
- 人工智能 (AI) 集成代表了制药研究中的范式转变.
- 人工智能将计算技术与传统方法相结合,以克服药物发现的挑战.
研究的目的:
- 审查AI在药物开发阶段的多样化应用.
- 突出AI在药物设计,合成,重新利用和财产预测中的作用.
主要方法:
- 对AI在药物发现中的应用进行了全面的文献审查.
- 在多药学和财产预测等领域分析人工智能方法.
- 检查人工智能驱动的药物开发中的挑战和局限性.
主要成果:
- 人工智能显著影响药物设计,多药理学,化学合成和药物重用.
- 人工智能模型预测药物的关键性质,包括毒性,生物活性和物理化学特性.
- 关键的挑战包括数据质量,概括性,计算资源和道德问题.
结论:
- 人工智能具有巨大的潜力,可以加速和改进药物开发过程.
- 解决已确定的挑战对于充分利用AI在制药领域的好处至关重要.
- 需要继续进行研究和开发,以优化药物发现中的AI.
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