使用机器学习结合MALDI-TOF MS的方法区分Weissella cibaria和Weissella confusa
Eiseul Kim1,2, Seung-Min Yang1,2, Dae-Hyun Jung1,3
1Institute of Life Sciences and Resources, Yongin 17104, Republic of Korea.
准确识别韦塞拉菌对于食品安全和临床环境至关重要. 这项研究将矩阵辅助激光脱/电离和飞行时间质谱学 (MALDI-TOF MS) 与机器学习相结合,以精确区分密切相关的韦塞拉菌种.
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:
- 韦塞拉·西巴里亚和W.confusa是重要的食物发酵细菌和机会性病原体.
- 目前的分类学方法难以准确识别这些密切相关的韦塞拉菌种.
- 可靠的识别对于商业应用和临床诊断都至关重要.
研究的目的:
- 开发一种新的,准确的方法来区分W. cibaria和W. confusa.
- 克服现有识别技术的局限性,包括标准 MALDI-TOF MS 数据库.
- 为了利用机器学习来加强微生物分类.
主要方法:
- 使用矩阵辅助激光脱/电离和飞行时间质谱法 (MALDI-TOF MS) 进行蛋白质分析.
- 应用各种机器学习算法 (SVM,随机森林,PCA-KNN,ANN) 来分析光谱数据.
- 在W. cibaria,W. confusa和其他Weissella物种的167个光谱上训练和测试模型.
主要成果:
- 标准生物类型数据库未能准确识别或区分韦塞拉物种.
- 尽管蛋白质形状相似,但统计分析和机器学习使物种的分化成为可能.
- 支持矢量机 (SVM) 模型与辐射基函数内核实现了100%的分类准确性,用于训练和测试集.
结论:
- MALDI-TOF MS与机器学习的整合为微生物识别提供了强大而准确的方法.
- 这种结合方法有效地分类了密切相关的物种,解决了传统技术的局限性.
- 开发的方法提高了在各种环境中识别重要的韦塞拉菌种的可靠性.
更多相关视频
09:26Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis
Published on: May 23, 2021
09:43Subtyping of Campylobacter jejuni ssp. doylei Isolates Using Mass Spectrometry-based PhyloProteomics MSPP
Published on: October 30, 2016
相关概念视频
Peptide Identification Using Tandem Mass Spectrometry
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
Tandem Mass Spectrometry
Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called collision-induced...
High-Resolution Mass Spectrometry (HRMS)
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences
Matrix-Assisted Laser Desorption Ionization (MALDI)
The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix material. The...
Mass Spectrometry: Complex Analysis
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
