在发现类天然产品的创新方法
Shu Cheng1, Xinghuan Wang2, Zixin Deng3
1Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Current opinion in microbiology
|December 21, 2024
概括
发现新型化物是具有挑战性的. 人工智能和自动化生物造加速了为各种应用程序创建类库的速度.
科学领域:
- 自然产品化学 自然产品化学
- 生物技术是生物技术.
- 合成生物学 合成生物学
背景情况:
- 类是具有广泛应用的多功能天然化合物.
- 在天然产品研究中,有效地发现新型类物质和创建全面的类物质库是重大挑战.
研究的目的:
- 为了应对化物发现和图书馆建设的挑战.
- 探索整合人工智能和自动化生物造平台的潜力.
主要方法:
- 使用微生物平台为烯前体供应.
- 应用人工智能用于酶功能预测和查.
- 在图书馆建设中使用自动化高通量生物造工作站.
主要成果:
- 人工智能有助于识别新型 terpenoid 合成组件.
- 自动化生物造厂显著减少了图书馆开发的时间和劳动力.
- 战略的整合增强了有价值的类的勘探.
结论:
- 结合人工智能和自动化生物造厂,为类动物研究提供了一种强大的方法.
- 这一综合战略有望在发现和利用新型化物方面取得重大进展.
- 类库的开发对于广泛的应用至关重要.
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