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预测生物技术的发展和机遇
Bettina M Nestl1,2, Bernd A Nebel2, Verena Resch2
1Joint working group on biotransformations of the Association for General and Applied Microbiology VAAM, the Society for Chemical Engineering, Biotechnology DECHEMA, Theodor-Heuss-Allee 25, 60486, Frankfurt, Germany.
概括
人工智能工具的进步,包括自动基因组注释和蛋白质结构预测 (例如AlphaFold2),正在加速生物催化和生物技术的进步. 这些创新为学术界和工业界提供了重要的机会,以推动生物经济的进一步发展.
科学领域:
- 生物技术是生物技术.
- 生物经济是生物经济.
- 计算生物学 计算生物学
背景情况:
- 生物经济正在迅速发展,整合了新的工艺链和生产方法.
- 进步越来越多地得到了学术界和工业界开发的复杂预测工具的支持.
- 像AlphaFold2和RoseTTAFold这样的工具已经显著改善了蛋白质结构的预测.
研究的目的:
- 突出人工智能 (AI) 在生物催化剂和生物技术领域日益增长的影响.
- 强调学术界和工业界在利用人工智能加速进步方面的协同机会.
- 强调生物技术的跨学科性质及其从人工智能集成中受益的潜力.
主要方法:
- 审查最近生物经济过程链的进展.
- 识别和讨论生物信息学中流行的预测工具.
- 对基于人工智能的生物技术工具开发新兴趋势的分析.
主要成果:
- 自动基因组注释和蛋白质结构预测工具正在得到广泛采用.
- 观察到基于人工智能的生物催化剂和生物技术工具的开发和应用显著增加.
- 这些人工智能工具正在增强学术研究和工业应用的能力.
结论:
- 人工智能驱动的工具代表了生物技术领域的转型机会.
- 学术界和工业界之间的合作对于最大限度地发挥这些人工智能进步的好处至关重要.
- 人工智能的整合有望进一步加速生物经济中的创新和增长.
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