应用人工智能方法来预测人类肠道微生物群的异生菌分子代谢
Aditya S Malwe1, Vineet K Sharma1
1MetaBioSys Lab, Department of Biological Sciences, Indian Institute of Science Education and Research, Bhopal, India.
Frontiers in microbiology
|December 20, 2023
概括
人的肠道微生物群,有1000多种细菌,会代谢药物. 计算工具现在可以预测哪些肠道细菌和酶会代谢异生菌,克服传统方法的局限性.
科学领域:
- 微生物学 微生物学
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
背景情况:
- 人的肠道微生物群包括1000多种细菌,具有广泛的代谢酶.
- 肠道细菌生物转化异生菌,影响药物的疗效,生物可用性和毒性.
- 传统的实验方法很难识别特定的肠道细菌,这些细菌参与了异生物代谢.
研究的目的:
- 审查肠道微生物组介导的异生物代谢的意义.
- 为预测肠道细菌与药物相互作用提供计算方法的概述.
- 讨论当前工具和数据库的范围和局限性.
主要方法:
- 审查关于肠道微生物组对异生菌代谢的现有文献.
- 分析计算方法,包括机器学习工具.
- 评估可用的数据库及其应用程序.
主要成果:
- 肠道微生物组显著影响异生菌代谢,影响药物特性.
- 计算工具,特别是机器学习,提供了强大的预测能力.
- 现有的方法在充分描述复杂微生物相互作用方面存在局限性.
结论:
- 了解肠道微生物组与药物相互作用对于个性化医学至关重要.
- 基于机器学习的工具为预测肠道细菌对外生物代谢提供了一个有希望的途径.
- 需要进一步开发计算方法来解决肠道微生物组的复杂性.
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