重新思考自然药房:人工智能时代和天然产品药物发现
Yipaerguli Paerhati1,2,3,4, Alifeiye Aikebaier1,2,3,4, Dilihuma Dilimulati1,2,3,4
1Department of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.
Pharmaceuticals (Basel, Switzerland)
|February 27, 2026
概括
人工智能 (AI) 正通过克服传统障碍,彻底改变自然产品 (NP) 药物发现. 人工智能加速了新疗法的识别和设计,使药物开发速度更快,更成功.
科学领域:
- 制药科学 制药科学
- 计算化学计算化学
- 药物发现 药物发现 药物发现
背景情况:
- 自然产品 (NPs) 在药物发现中至关重要,占FDA批准药物的50%左右.
- 传统的NP发现受到艰苦的隔离,生物多样性限制和低选成功率的阻碍,导致长时间的开发和高成本.
研究的目的:
- 审查人工智能应用在天然产品药物发现方面的进展.
- 突出AI克服传统挑战和加速治疗发展的潜力.
主要方法:
- 利用机器学习 (ML),深度学习 (DL) 和生成AI (Gen.AI).
- 利用人工智能对化学库进行虚拟选,并预测分子相互作用.
- 采用人工智能来设计新的NP灵感的脚手架.
主要成果:
- 人工智能有可能将NP药物发现时间表缩短高达70%.
- 与传统方法相比,人工智能可以将成功率从<1%提高到10%以上.
- 人工智能有助于开发创新和环保的治疗方法.
结论:
- 人工智能是振兴天然产品药物发现的变革力量.
- 解决数据表示,模型解释性和伦理生物勘探等挑战对于人工智能集成至关重要.
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