人工智能辅助的分析揭示了氨基酸对Limosilactobacillus fermentum生长的影响和相互作用
Yoshimi Kobayashi1,2, Tai-Ying Chiou3, Masaaki Konishi3
1Cold Regions, Environmental and Energy Engineering Course, Graduate School of Engineering, Kitami Institute of Technology, Kitami, Hokkaido, Japan.
Bioscience, biotechnology, and biochemistry
|June 25, 2023
概括
深度神经网络优化了Limosilactobacillus fermentum生长的媒介. 该研究确定了关键的氨基酸,包括酸,对于增强乳酸细菌增殖至关重要.
科学领域:
- 微生物学 微生物学
- 生物技术是生物技术.
- 计算生物学 计算生物学
背景情况:
- 乳酸细菌 (LAB) 在食品发酵和益生菌中至关重要.
- 优化LAB生长介质对于工业应用至关重要.
- 了解特定营养素对LAB生长的影响至关重要.
研究的目的:
- 开发基于氨基酸组成的Limosilactobacillus fermentum生长的预测模型.
- 使用深度神经网络识别影响LAB生长的关键氨基酸.
- 为了确定一个最佳的生长媒介组成,以提高LAB的增殖.
主要方法:
- 利用深度神经网络 (DNN),将氨基酸 (AAs) 作为输入变量和LAB增长作为输出.
- 采用直角阵列来设计 64 个不同的自由 AA 中介组合.
- 应用贝叶斯优化 (BO) 来确定基于DNN模型的最佳AA度.
主要成果:
- DNN模型准确地预测了LAB的增长,准确度高,平均平方误差低.
- 亚斯巴酸 (Asp) 被确定为影响LAB生长的重要因素.
- 提出了一个优化的介质,最大限度地提高Asn,Asp,Lys,Thr和Tyr,并最大限度地减少Gln,Pro和Ser.
- 经验验证证证实了LAB在拟议的媒介中的增强增长.
结论:
- 通过DNN-BO方法有效地确定了Limosilactobacillus fermentum的最佳介质组成.
- 特定的氨基酸配置,特别是Asp的含有,对于最大限度地提高LAB生长至关重要.
- 在优化的介质中缺少某些氨基酸 (Gln,Ser,Pro) 表明影响生长趋势的复杂相互作用.
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