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Updated: May 11, 2026

Measuring Bacterial Load and Immune Responses in Mice Infected with Listeria monocytogenes

Measuring Bacterial Load and Immune Responses in Mice Infected with Listeria monocytogenes

Published on: August 9, 2011

一个预测ML工具,用于Listeria monocytogenes中的毒性潜力和消毒剂耐受性

Alexander Gmeiner¹, Mirena Ivanova¹, Rolf Sommer Kaas¹

¹National Food Institute, Technical University of Denmark, Research Group for Genomic Epidemiology, Kgs, Lyngby, Denmark.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases

|March 20, 2025

概括

ListPred是一个新的机器学习工具,可以分析Listeria monocytogenes的全基因组测序数据. 它可以预测毒性和消毒剂耐受性,使食品工业能够获得先进的病原体分析.

科学领域:

食品安全食品安全
微生物学微生物学
生物信息学是一种生物信息学.

背景情况:

食物传播的病原体,如Listeria monocytogenes,对公众健康和食品工业构成重大风险.
全基因组测序 (WGS) 为追踪病原体传播和污染源提供了高分辨率.
应用于WGS数据的机器学习 (ML) 显示了预测微生物特征的潜力,但由于资源和专业知识的限制,行业的采用受到限制.

研究的目的:

开发和展示ListPred,一个用户友好的ML工具,用于分析Listeria monocytogenes的WGS数据.
预测关键的细菌特征,特别是毒性潜力和消毒剂耐受性,使用基因组标记物和预训练的ML模型.
通过最大限度地减少计算和专业知识要求,促进食品行业更广泛地实施WGS和ML技术.

主要方法:

从以前的研究中利用了基因组标记.
雇员预先训练的机器学习模型.
开发了ListPred作为一种需要有限的计算资源和生物信息专业知识的工具.

主要成果:

ListPred成功地预测了Listeria monocytogenes中的毒性潜力.
列表Pred准确地预测了Listeria monocytogenes中的消毒剂耐受性.
该工具是为可访问性而设计的,需要最小的计算能力和生物信息知识.

结论:

ListPred为食品行业提供了一种实际的解决方案,以利用WGS和ML进行病原体分析.
该工具通过简化数据分析和解释来解决采用障碍.
ListPred通过更好地预测与控制和管理相关的Listeria monocytogenes特征来提高食品安全.

关键词:

消毒剂的耐受性消毒剂耐受性李斯特里亚单细胞原生菌 (Listeria monocytogenes) 是一种机器学习是机器学习.预测工具是一个预测工具.有潜在的病毒性潜力.

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