使用人工智能设计的Cis调节元件控制基因表达
1Department of Gastroenterology, Aerospace Center Hospital, College of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China; Zhongguancun Academy, Beijing 100094, China.
人工智能 (AI) 正在彻底改变用于基因表达控制的 cis 调节元件 (CREs) 的设计. 虽然人工智能看起来有前途,但对于先进的合成生物学来说,数据限制和可解释性等挑战需要解决.
科学领域:
- 基因组学就是基因组学.
- 合成生物学 合成生物学
- 计算生物学 计算生物学
背景情况:
- 基因调节元件 (CREs) 对基因表达至关重要,但传统的设计方法效率低下.
- 深度学习的进步正在提高CRE预测,并使合成CRE设计成为可能.
研究的目的:
- 审查人工智能对CRE设计和预测的影响.
- 讨论人工智能驱动的CRE工程中的当前挑战和未来方向.
主要方法:
- 审查深度学习模型,包括专用设计模型和DNA基础模型.
- 对人工智能与高通量实验数据集成的分析.
- 检查新兴的人工智能技术,如多式模式建模和强化学习.
主要成果:
- 人工智能提高了预测准确度,并为设计合成CREs (如促进剂和增强剂) 提供了策略.
- 人工智能模型显示,在生成复杂的监管架构方面取得了进展.
- 目前的人工智能方法面临的挑战包括数据稀缺,预测-实验差距和有限的解释性.
结论:
- 人工智能具有系统和有针对性的合成CRE设计的巨大潜力.
- 未来的方向包括解决数据质量问题,提高模型解释性,探索多式联络和强化学习方法.
- 克服当前的局限性是充分实现AI在监管要素工程方面的能力的关键.
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