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

Altered dynamic functional connectivity in rectal cancer patients with and without chemotherapy: a resting-state fMRI study.

The International journal of neuroscience·2022
Same author

[Advances of long non-coding RNA encoded micro-peptides].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2022
Same author

Case report: One child with an autism spectrum disorder who had chronically elevated serum levels of CK and CK-MB.

Frontiers in psychiatry·2022
Same author

A highly efficient polydopamine encapsulated clinical ICG theranostic nanoplatform for enhanced photothermal therapy of cervical cancer.

Nanoscale advances·2022
Same author

Expression profile of long non-coding RNA in inner Mongolian cashmere goat with putative roles in hair follicles development.

Frontiers in veterinary science·2022
Same author

Efficacy and safety of a Chinese herbal formula Maxing Ganshi Decoction in children with community-acquired pneumonia: A randomized, double-blind, placebo-controlled, multicenter trial.

Frontiers in pharmacology·2022

相关实验视频

Updated: Jul 17, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

12.4K

使用可解释的机器学习来扩展异质抗体-病毒数据集.

Tal Einav1,2, Rong Ma3

  • 1Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.

Cell reports methods
|September 6, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个计算框架,可以预测抗体如何在不同研究中抑制流感病毒变体. 这一进步有助于统一数据集,并通过使更广泛的数据分析成为可能,提高了疫情准备.

关键词:
抗体-病毒相互作用错误估计的错误估计抑制血液凝结的抑制作用归算是指指责一个人.流感 流感 流感 流感 流感完成矩阵的完成.血清学 血清学是一门学科.

更多相关视频

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes
08:52

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes

Published on: July 26, 2019

8.2K
Author Spotlight: Advancing Antiviral Strategies Through Novel Immunocapture and Mass Spectrometry Techniques
08:07

Author Spotlight: Advancing Antiviral Strategies Through Novel Immunocapture and Mass Spectrometry Techniques

Published on: January 12, 2024

773

相关实验视频

Last Updated: Jul 17, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

12.4K
Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes
08:52

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes

Published on: July 26, 2019

8.2K
Author Spotlight: Advancing Antiviral Strategies Through Novel Immunocapture and Mass Spectrometry Techniques
08:07

Author Spotlight: Advancing Antiviral Strategies Through Novel Immunocapture and Mass Spectrometry Techniques

Published on: January 12, 2024

773

科学领域:

  • 病毒学 病毒学
  • 免疫学 免疫学 免疫学
  • 计算生物学 计算生物学

背景情况:

  • 从现有的生物数据中预测实验结果是一个重大挑战.
  • 流感病毒的演变和跨研究的数据碎片化阻碍了模式识别和数据集统一.

研究的目的:

  • 开发一个计算框架来预测任何流感病毒变体的抗体或血清抑制,无论研究是什么.
  • 为了实现不同流感病毒数据集的统一,并提高预测能力.

主要方法:

  • 开发了一个计算框架来预测交叉研究抗体-抗原相互作用.
  • 使用来自七项独立研究的血液凝结抑制数据验证了框架.
  • 预测了超过2,000,000个新的抑制值与相关的不确定性.

主要成果:

  • 量化了人类和驼疫苗接种和感染研究之间的数据的可转移性.
  • 证明了血清强度和宽度之间的负相关性.
  • 创建了一个可用于各种流感研究的预测工具.

结论:

  • 该计算框架成功地预测了不同研究中的抗体-抗原相互作用,克服了数据碎片化.
  • 这些发现为血清特性提供了洞察力,并为流感大流行做好准备提供了宝贵的工具.
  • 这种方法有助于更统一,更全面地分析流感病毒数据.