• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Machine learning-based colistin resistance marker screening and phenotype prediction in Escherichia coli from whole genome sequencing data.

作者信息

Tian Yingxin, Zhang Di, Chen Fangyuan, Rao Guanhua, Zhang Ying

机构信息

Department of Laboratory Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.

Department of Laboratory Medicine, Third Xiangya Hospital, Central South University, Changsha, China.

出版信息

J Infect. 2024 Feb;88(2):191-193. doi: 10.1016/j.jinf.2023.11.009. Epub 2023 Nov 20.

DOI:10.1016/j.jinf.2023.11.009
PMID:37992876
Abstract
摘要

相似文献

1
Machine learning-based colistin resistance marker screening and phenotype prediction in Escherichia coli from whole genome sequencing data.基于机器学习从全基因组测序数据中筛选大肠杆菌中黏菌素耐药标记及预测表型
J Infect. 2024 Feb;88(2):191-193. doi: 10.1016/j.jinf.2023.11.009. Epub 2023 Nov 20.
2
Plasmid-Mediated Colistin Resistance in Escherichia coli from a Black Kite in Russia.俄罗斯一只黑鸢携带的质粒介导的黏菌素耐药性大肠杆菌。
Antimicrob Agents Chemother. 2019 Aug 23;63(9). doi: 10.1128/AAC.01266-19. Print 2019 Sep.
3
Conjugal Transfer, Whole-Genome Sequencing, and Plasmid Analysis of Four -Bearing Isolates from U.S. Patients.来自美国患者的四株携带菌的共轭转移、全基因组测序和质粒分析。
Antimicrob Agents Chemother. 2019 Mar 27;63(4). doi: 10.1128/AAC.02417-18. Print 2019 Apr.
4
The co-transfer of plasmid-borne colistin-resistant genes mcr-1 and mcr-3.5, the carbapenemase gene bla and the 16S methylase gene rmtB from Escherichia coli.质粒介导的黏菌素耐药基因 mcr-1 和 mcr-3.5、碳青霉烯酶基因 bla 和 16S 甲基化酶基因 rmtB 从大肠杆菌中的共同转移。
Sci Rep. 2019 Jan 24;9(1):696. doi: 10.1038/s41598-018-37125-1.
5
High Prevalence of Colistin-Resistant Escherichia coli with Chromosomally Carried in Healthy Residents in Vietnam.越南健康居民中携带染色体耐药基因的多黏菌素耐药大肠杆菌的高流行率。
mSphere. 2020 Mar 4;5(2):e00117-20. doi: 10.1128/mSphere.00117-20.
6
Genetic Analysis of p17S-208 Plasmid Encoding the Colistin Resistance mcr-3 Gene in Escherichia coli Isolated from Swine in South Korea.对从韩国猪中分离出的携带耐黏菌素mcr-3基因的p17S - 208质粒进行的遗传分析。
Microb Drug Resist. 2019 Apr;25(3):457-461. doi: 10.1089/mdr.2018.0132. Epub 2018 Oct 31.
7
Plasmid-mediated colistin-resistant Escherichia coli detected from 2014 in Norway.2014年起在挪威检测到的质粒介导的耐黏菌素大肠杆菌。
Int J Antimicrob Agents. 2016 Aug;48(2):227-8. doi: 10.1016/j.ijantimicag.2016.06.001. Epub 2016 Jun 22.
8
Hybrid genome assembly of colistin-resistant mcr-1.5-producing Escherichia coli ST354 reveals phylogenomic pattern associated with urinary tract infections in Brazil.耐黏菌素 mcr-1.5 产生大肠杆菌 ST354 的混合基因组组装揭示了与巴西尿路感染相关的系统基因组模式。
J Glob Antimicrob Resist. 2024 Jun;37:37-41. doi: 10.1016/j.jgar.2024.02.017. Epub 2024 Feb 24.
9
Spread of colistin resistance gene mcr-1 in Italy: characterization of the mcr-1.2 allelic variant in a colistin-resistant blood isolate of Escherichia coli.黏菌素耐药基因mcr-1在意大利的传播：一株耐黏菌素大肠杆菌血源分离株中mcr-1.2等位基因变体的特征分析
Diagn Microbiol Infect Dis. 2018 May;91(1):66-68. doi: 10.1016/j.diagmicrobio.2017.12.015. Epub 2017 Dec 24.
10
Genome Analysis of the Carbapenem- and Colistin-Resistant Escherichia coli Isolate NRZ14408 Reveals Horizontal Gene Transfer Pathways towards Panresistance and Enhanced Virulence.对耐碳青霉烯类和耐黏菌素的大肠杆菌分离株NRZ14408的基因组分析揭示了向泛耐药性和增强毒力的水平基因转移途径。
Antimicrob Agents Chemother. 2017 Mar 24;61(4). doi: 10.1128/AAC.02359-16. Print 2017 Apr.

引用本文的文献

1
Clinical Value of Metagenomic Next-Generation Sequencing in Early Diagnosis of Peritoneal Dialysis-Associated Peritonitis: A Randomised Controlled Observational Trial.宏基因组下一代测序在腹膜透析相关性腹膜炎早期诊断中的临床价值：一项随机对照观察性试验
Nephrology (Carlton). 2025 Aug;30(8):e70094. doi: 10.1111/nep.70094.
2
Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for via metagenomic sequencing.机器学习选择的最小特征通过宏基因组测序实现基于规则的高精度抗生素敏感性预测。
Microbiol Spectr. 2025 Aug 5;13(8):e0055625. doi: 10.1128/spectrum.00556-25. Epub 2025 Jul 11.
3
Genomic and machine learning approaches to predict antimicrobial resistance in .
用于预测……中抗菌药物耐药性的基因组学和机器学习方法 。（原文句子不完整，“in”后面缺少具体内容）
Microbiol Spectr. 2025 Aug 5;13(8):e0263224. doi: 10.1128/spectrum.02632-24. Epub 2025 Jun 18.
4
Rapid prediction of antibiotic resistance in complex using whole-genome and metagenomic sequencing.利用全基因组和宏基因组测序快速预测复杂环境中的抗生素耐药性。
mSystems. 2025 Jul 22;10(7):e0058425. doi: 10.1128/msystems.00584-25. Epub 2025 Jun 12.
5
Performance and hypothetical clinical impact of an mNGS-based machine learning model for antimicrobial susceptibility prediction of five ESKAPEE bacteria.基于宏基因组下一代测序（mNGS）的机器学习模型对五种ESKAPEE细菌进行抗菌药物敏感性预测的性能及假设的临床影响
Microbiol Spectr. 2025 Jun 3;13(6):e0259224. doi: 10.1128/spectrum.02592-24. Epub 2025 Apr 17.
6
Integrating sequencing methods with machine learning for antimicrobial susceptibility testing in pediatric infections: current advances and future insights.将测序方法与机器学习相结合用于儿科感染的抗菌药物敏感性测试：当前进展与未来展望。
Front Microbiol. 2025 Mar 5;16:1528696. doi: 10.3389/fmicb.2025.1528696. eCollection 2025.
7
Integrating DNA and RNA sequencing for enhanced pathogen detection in respiratory infections.整合DNA和RNA测序以增强呼吸道感染中病原体的检测
J Transl Med. 2025 Mar 14;23(1):325. doi: 10.1186/s12967-025-06342-4.
8
Host DNA depletion assisted metagenomic sequencing of bronchoalveolar lavage fluids for diagnosis of pulmonary tuberculosis.宿主DNA去除辅助的支气管肺泡灌洗液宏基因组测序用于肺结核诊断
Ann Clin Microbiol Antimicrob. 2025 Feb 17;24(1):13. doi: 10.1186/s12941-025-00782-y.
9
The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance.人工智能和机器学习在预测及对抗抗菌药物耐药性方面的作用。
Comput Struct Biotechnol J. 2025 Jan 18;27:423-439. doi: 10.1016/j.csbj.2025.01.006. eCollection 2025.
10
Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.使用机器学习工具应对抗微生物药物耐药性“大流行”：现有证据综述
Microorganisms. 2024 Apr 23;12(5):842. doi: 10.3390/microorganisms12050842.