人工智能揭示了大自然:设计和自然之间的功能平行
Jiashu Wang1,2,3, Thomas David Daniel Kazmirchuk1,2,3, Maryam Hajikarimlou1,2,3
1Ottawa Institute of Systems Biology, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada.
International journal of molecular sciences
|November 13, 2025
概括
研究人员发现了来自大麻植物的天然,其功能与人工智能设计的类似. 这种天然与SARS-CoV-2尖端蛋白结合,可能阻止病毒进入人体细胞.
科学领域:
- 生物化学 生化学
- 药物发现 药物发现 药物发现
- 计算生物学 计算生物学
背景情况:
- 植物性是一种比合成药物更安全的替代品.
- 人工智能 (AI) 正在推动药物设计.
- 严重急性呼吸道综合征冠状病毒2 (SARS-CoV-2) 使用其尖端蛋白受体结合域 (RBD) 与人类的ACE2受体结合.
研究的目的:
- 发现具有与人工智能设计的具有功能相似性的天然.
- 为了研究一种来自 *Brassica napus* (大菜) 的天然,研究其潜在的抗病毒特性.
- 验证人工智能在识别天然药物候选物的使用.
主要方法:
- 对 *Brassica napus* 的蛋白质组分析.
- 人工智能驱动的质设计针对SARS-CoV-2 S1蛋白 RBD.
- 分子对接模拟. 分子对接模拟.
- 在体外结合和抑制测定.
主要成果:
- 鉴定出了来自Canola蛋白质的天然.
- 这种天然与人工智能设计的具有功能上的相似性.
- 该有效地与SARS-CoV-2 RBD结合,并抑制ACE2相互作用.
- 分子对接和结合试验证实了的有效性.
结论:
- 人工智能可以加速自然治疗的发现.
- 科洛拉衍生体显示出对抗SARS-CoV-2的抗病毒剂的前景.
- 这种方法验证了AI在识别自然来源的新药线索方面的作用.
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