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

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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

Detecting Uncoded Self-Harm in Veterans' Electronic Health Records Using Positive and Unlabeled Learning: Retrospective Cohort Study.

Journal of medical Internet research·2026
Same author

Detecting Uncoded Self-Harm in Veterans' Electronic Health Records Using Positive and Unlabeled Learning: Retrospective Observational Study.

Journal of medical Internet research·2026
Same author

The Common Fund Data Ecosystem (CFDE).

bioRxiv : the preprint server for biology·2026
Same author

Acute wood smoke exposure is associated with cell-specific hippocampal transcriptomic responses in an accelerated ovarian failure mouse model.

bioRxiv : the preprint server for biology·2026
Same author

KG2ML: integrating knowledge graphs and positive unlabeled learning for identifying disease-associated genes.

Frontiers in bioinformatics·2026
Same author

The Concise Guide to PHARMACOLOGY 2025/26: G protein-coupled receptors.

British journal of pharmacology·2025

相关实验视频

Updated: Jun 23, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

18.5K

虚拟和实体查的整合

Dan C Fara1, Tudor I Oprea1, Eric R Prossnitz2

  • 1Department of Biochemistry and Molecular Biology, Division of Biocomputing, University of New Mexico, Health Sciences Center, Albuquerque, NM 87131, USA.

Drug discovery today. Technologies
|April 15, 2024
PubMed
概括

高通量查 (HTS) 和虚拟查 (VS) 是药物发现的关键方法. 本研究探讨了将物理查 (PS) 与VS整合起来,以加强化合物识别.

更多相关视频

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
09:17

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

11.3K
The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living
08:36

The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living

Published on: July 28, 2022

3.8K

相关实验视频

Last Updated: Jun 23, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

18.5K
Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
09:17

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

11.3K
The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living
08:36

The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living

Published on: July 28, 2022

3.8K

科学领域:

  • 药物发现和药物化学
  • 计算化学和化学信息学
  • 生物技术和制药科学 生物技术和制药科学

背景情况:

  • 高通量查 (HTS) 是识别新型药物化合物的主要方法.
  • 高质量测试系统 (HTS) 涉及对生物目标进行物理选,对庞大的化学图书馆进行物理选.
  • 虚拟选 (VS) 提供了一个替代的计算方法来评估化学库 *in silico*.

研究的目的:

  • 研究物理查 (PS) 和虚拟查 (VS) 战略的整合.
  • 提高化合物识别过程的效率和重点.
  • 在药物发现中利用实验和计算方法.

主要方法:

  • 使用已建立的高通量选协议.
  • 实施虚拟选技术,用于*in silico*图书馆评估.
  • 开发一个集成的工作流,将PS和VS结合起来.

主要成果:

  • 证明了整合PS和VS方法的可行性.
  • 展示了VS如何改进和专注于PS过程.
  • 通过集成,确定了通过整合识别命中率的潜在改进.

结论:

  • VS与PS的整合为药物发现提供了一种协同的方法.
  • 这种联合策略可以优化资源配置,加快化合物识别.
  • 对综合查工作流程的进一步研究对于药物开发是有必要的.