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

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

Trustworthy and explainable AI for drug discovery.

Expert opinion on drug discovery·2026
Same author

Unlocking SLC6A15 (B<sup>0</sup>AT2): A Dual-Platform Approach To Accelerate Drug Discovery for Neuropsychiatric Disorders.

Analytical chemistry·2026
Same author

Response to letter regarding "AI‑based analysis of label‑free live‑cell imaging of T‑cell-mediated tumor killing".

SLAS discovery : advancing life sciences R & D·2026
Same author

AI-based analysis of label-free live cell imaging of T-cell mediated tumor killing assay enables competitive and robust hit calling.

SLAS discovery : advancing life sciences R & D·2026
Same author

PCIM: Learning pixel attributions via pixel-wise channel isolation mixing in high content imaging.

SLAS discovery : advancing life sciences R & D·2025
Same author

Advancing large-molecule discovery with a unified digital platform for data analysis and workflow management.

mAbs·2025
Same journal

A Hybrid Experimental and in silico Platform for ITPK1 Chemical Probe Discovery.

SLAS discovery : advancing life sciences R & D·2026
Same journal

Tumor-versus-nonmalignant quantitative drug sensitivity profiling identifies capivasertib as a selective therapeutic candidate for nasopharyngeal carcinoma.

SLAS discovery : advancing life sciences R & D·2026
Same journal

ADCs for colorectal carcinoma: decoding clinical evidence for molecular design innovation.

SLAS discovery : advancing life sciences R & D·2026
Same journal

CellVision: A deep learning based image analysis platform to accelerate immuno-plaque assay data processing for dengue vaccine development.

SLAS discovery : advancing life sciences R & D·2026
Same journal

Use t tests to analyze counts of cells in two states.

SLAS discovery : advancing life sciences R & D·2026
Same journal

In silico prioritization and cheminformatics identify structurally diverse small-molecule inhibitors of Lassa virus glycoprotein-mediated membrane fusion.

SLAS discovery : advancing life sciences R & D·2026
查看所有相关文章

相关实验视频

Updated: Jun 21, 2025

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Published on: May 20, 2013

22.5K

一个强大的CETSA数据分析自动化工作流程,用于例行选.

Juan Daniel Florez Weidinger1, Moritz Pfreundschuh1, Diana Zörb2

  • 1Genedata AG, Basel, Switzerland.

SLAS discovery : advancing life sciences R & D
|July 5, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了用于细胞热转移试验 (CETSA) 的自动化数据分析工作流程,以增强高通量选. 这种新方法简化了蛋白质-连接体相互作用分析,提高了药物发现的效率和可靠性.

关键词:
测试技术 测试技术 测试技术数据分析数据分析药物发现 药物发现实验室自动化 实验室自动化

更多相关视频

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.0K
Author Spotlight: A Selective Luciferase-Based Assay for Monitoring ATG4B 27 Activity in Cells
09:51

Author Spotlight: A Selective Luciferase-Based Assay for Monitoring ATG4B 27 Activity in Cells

Published on: June 30, 2023

801

相关实验视频

Last Updated: Jun 21, 2025

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Published on: May 20, 2013

22.5K
Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.0K
Author Spotlight: A Selective Luciferase-Based Assay for Monitoring ATG4B 27 Activity in Cells
09:51

Author Spotlight: A Selective Luciferase-Based Assay for Monitoring ATG4B 27 Activity in Cells

Published on: June 30, 2023

801

科学领域:

  • 生物化学 生物化学
  • 药理学 药理学是指药理学的学科.
  • 药物发现 药物发现 药物发现

背景情况:

  • 细胞热转移试验 (CETSA) 对于研究细胞中的蛋白质-配体相互作用至关重要.
  • CETSA提供了关于小和大分子的结合亲和力和特异性的见解.
  • 目前CETSA的数据分析和质量控制是繁的,限制了高通量选.

研究的目的:

  • 开发一个可扩展和强大的数据分析工作流程,将CETSA集成到常规高通量选 (HT-CETSA) 中.
  • 为了自动化CETSA实验的数据分析和质量控制过程.

主要方法:

  • 为CETSA引入了一种新的自动化数据分析工作流程.
  • 整合自动化质量控制 (QC) 措施,包括异常物检测,样品和板质量控制以及结果分类.
  • 验证工作流的稳定性与实验文物,并评估缩放效应.

主要成果:

  • 自动化工作流程使HT-CETSA可进行可扩展和可靠的数据分析.
  • 工作流有效地自动化数据处理,减少手工工作和潜在的错误.
  • 证明了对常见实验工件的强度,并分析了缩放效应.

结论:

  • 开发的工作流显著提高了CETSA在药物发现方面的吞吐量和可靠性.
  • 数据分析和质量控制的自动化是将CETSA纳入常规高通量选中的关键.
  • 这种方法有助于更高效,更准确地评估蛋白质-连接体相互作用.