药物开发中的人工智能:重塑治疗领域
Sarfaraz K Niazi1, Zamara Mariam2
1College of Pharmacy, University of Illinois Chicago, 833 South Wood Street, Chicago, IL 60612, USA.
Therapeutic advances in drug safety
|February 26, 2025
概括
人工智能 (AI) 正通过加速研发来彻底改变药物发现. 虽然存在诸如模型透明度等挑战,但人工智能显著减少了新药开发的时间和成本.
科学领域:
- 制药科学 制药科学
- 计算生物学 计算生物学
- 药物发现 药物发现 药物发现
背景情况:
- 在过去的30年里,人工智能 (AI) 取得了显著的进步.
- 机器学习,深度学习和神经网络是影响药物开发的关键人工智能技术.
- 人工智能越来越多地用于制药研发 (R&D).
研究的目的:
- 探索人工智能对药物研发的变革性影响.
- 突出AI在药物设计,目标识别和临床试验预测中的作用.
- 讨论人工智能在将新药推向市场方面的潜力和挑战.
主要方法:
- 对人工智能在确定治疗点方面的应用进行审查.
- 分析AI在改进化学设计和预测蛋白质结构方面的作用.
- 检查生成AI对药物分子开发的贡献.
主要成果:
- 人工智能通过识别新目标,改进设计和预测蛋白质结构来加速研发.
- 生成型人工智能正在加速开发各种疾病的分子.
- 人工智能驱动的发现减少了开发时间和成本,尽管模型透明度和偏见存在挑战.
结论:
- 人工智能是一个强大的工具,可以彻底改变药物发现和开发.
- 尽管目前存在局限性,但人工智能有望使药物发现更快,更有效,更广泛.
- 人工智能提供了新的治疗选择,预计将推动未来的制药创新.
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