Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Gold complex compounds that inhibit drug-resistant <i>Staphylococcus aureus</i> by targeting thioredoxin reductase.

Frontiers in antibiotics·2025
Same author

After COVID-19 diagnosis, risk for incident type 2 diabetes was elevated for up to 2 y.

Annals of internal medicine·2024
Same author

Lessons learned from COVID-19 to overcome challenges in conducting outpatient clinical trials to find safe and effective therapeutics for the next infectious pandemic.

Journal of clinical and translational science·2024
Same author

Resveratrol-coated gold nanorods produced by green synthesis with activity against <i>Candida albicans</i>.

Virulence·2024
Same author

Treatment of Macrolide-resistant Mycoplasma pneumoniae Pneumonia in Children: A Meta-analysis of Macrolides Versus Tetracyclines.

The Pediatric infectious disease journal·2024
Same author

Safety and Pharmacokinetics of Casirivimab and Imdevimab (CAS + IMD) in Pediatric Outpatients With COVID-19.

Journal of the Pediatric Infectious Diseases Society·2024

相关实验视频

Updated: Jul 10, 2026

System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis
09:57

System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis

Published on: April 5, 2017

8.6K

机器学习辅助高通量选抗MRSA化合物的高通量选

Fadi Shehadeh, LewisOscar Felix, Markos Kalligeros

    IEEE/ACM transactions on computational biology and bioinformatics
    |July 26, 2024
    PubMed
    概括

    一个机器学习模型通过有效选化合物来加速抗微生物药物发现. 这种计算方法增强了高通量查 (HTS) 并识别了潜在的新抗菌剂.

    科学领域:

    • 计算化学是一种计算化学.
    • 药物发现 药物发现
    • 机器学习应用程序 机器学习应用程序

    背景情况:

    • 抗微生物药物耐药性 (AMR) 构成一个重大的全球健康挑战,需要新的治疗药物.
    • 传统的复合选方法耗时且昂贵.
    • 计算方法提供了一个有希望的策略,以加快新抗菌化合物的识别.

    研究的目的:

    • 开发和验证一种机器学习 (ML) 模型,用于低分子量化合物的in silico选.
    • 提高识别潜在抗微生物剂的效率和降低成本.

    主要方法:

    • 使用了高通量Caenorhabditis elegans甲素耐药黄金葡萄球菌 (MRSA) 液体感染试验的结果.
    • 开发了用于复合物优先级和质量控制的ML模型.
    • 将模型应用于大量化学化合物的验证集.

    主要成果:

    • 化合物优先级模型表现出强的性能,AUC为0.795,灵敏度为81%,特异性为70%.
    • 该ML模型在测试化合物的30.6%内发现了81%的活性化合物,从而使得成功率增加了2.67倍.
    • 重新训练模型发现了之前错过的45种活性化合物中的42种 (93%).

    更多相关视频

    High-throughput Screening of Chemical Compounds to Elucidate Their Effects on Bacterial Persistence
    07:25

    High-throughput Screening of Chemical Compounds to Elucidate Their Effects on Bacterial Persistence

    Published on: February 23, 2021

    4.0K
    Author Spotlight: Scalable Drug Screening Protocol for Efficient Discovery of M. abscessus Treatments
    07:50

    Author Spotlight: Scalable Drug Screening Protocol for Efficient Discovery of M. abscessus Treatments

    Published on: October 25, 2024

    1.6K

    相关实验视频

    Last Updated: Jul 10, 2026

    System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis
    09:57

    System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis

    Published on: April 5, 2017

    8.6K
    High-throughput Screening of Chemical Compounds to Elucidate Their Effects on Bacterial Persistence
    07:25

    High-throughput Screening of Chemical Compounds to Elucidate Their Effects on Bacterial Persistence

    Published on: February 23, 2021

    4.0K
    Author Spotlight: Scalable Drug Screening Protocol for Efficient Discovery of M. abscessus Treatments
    07:50

    Author Spotlight: Scalable Drug Screening Protocol for Efficient Discovery of M. abscessus Treatments

    Published on: October 25, 2024

    1.6K

    结论:

    • 开发的ML方法显著提高了高通量选 (HTS) 的效率.
    • 这种方法减少了需要物理选的化合物数量,并识别了可能被忽视的活性分子.
    • ML模型使HTS更容易获得,降低了对抗微生物药物发现的进入壁垒.