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

Data Collection by Observations01:08

Data Collection by Observations

12.1K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.1K
Time-Series Graph00:54

Time-Series Graph

4.4K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.4K
Variability: Analysis01:11

Variability: Analysis

158
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
158
Cluster Sampling Method01:20

Cluster Sampling Method

12.0K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.0K
Data Collection by Experiments01:13

Data Collection by Experiments

24.3K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
24.3K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

129
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
129

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

Good Practices for Simulation Studies Published in <i>The Journal of Physical Chemistry B</i>.

The journal of physical chemistry. B·2026
Same author

Convergence is not correctness: context-dependent performance of enhanced-sampling methods across biological complexity.

Nature communications·2026
Same author

Aromatic ring flips reveal reshaping of protein dynamics in crystals and complexes.

Nature chemistry·2026
Same author

Free-Energy Landscapes of HBV Hexamer Closure Reveal Key Structural Features of the Transition.

Journal of chemical theory and computation·2026
Same author

Correction to "One for All, All for One: A Unified Framework for Free-Energy Calculations".

Accounts of chemical research·2026
Same author

Free-Energy Calculations of Biomolecular Processes: Methods Development, Benchmarking, and Applications.

The journal of physical chemistry. B·2026
Same journal

Recent advances of in situ and in vivo electrochemical analysis of brain chemistry at micro- and nanoscale.

QRB discovery·2026
Same journal

Hole migration in cytochrome P450.

QRB discovery·2026
Same journal

Welcome editorial from the new Editor-in-Chief.

QRB discovery·2026
Same journal

Electrochemical measurements at human iPSC-derived FOXA2 dopaminergic neurons suggest a role for partial release in presynaptic plasticity.

QRB discovery·2026
Same journal

Mass spectrometry integrates protein design into structural biology method development.

QRB discovery·2026
Same journal

Infrared nanoscopy for subcellular chemical imaging.

QRB discovery·2026
查看所有相关文章

相关实验视频

Updated: Jul 19, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.0K

使用时间数据驱动的策略追逐集体变量.

Haochuan Chen1, Christophe Chipot1,2,3

  • 1Laboratoire International Associé Centre National de la Recherche Scientifique et University of Illinois at Urbana-Champaign, Unité Mixte de Recherche n°7019, Université de Lorraine, 54506 Vandœuvre-lès-Nancy, France.

QRB discovery
|August 11, 2023
PubMed
概括
此摘要是机器生成的。

自动编码器 (AEs) 学习高方差模式,而不是慢动态,用于分子模拟. 基于时间序列的模型,如VAMPnets,有效地捕捉缓慢模式,以便准确的自由能量计算.

关键词:
自动编码器 自动编码器这就是VAMP网.集体变量是一个集体变量.免费能量的计算.缓慢模式是一种缓慢的模式.

更多相关视频

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.1K
Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

1.4K

相关实验视频

Last Updated: Jul 19, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.0K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.1K
Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

1.4K

科学领域:

  • 计算化学的计算化学
  • 生物物理学的生物物理.
  • 机器学习 机器学习

背景情况:

  • 自由能量计算依赖于代表缓慢分子动态的集体变量 (CV).
  • 自动编码器 (AEs) 是用于CV发现的数据驱动工具,但它们的编码通常不清楚.
  • 了解AE潜伏空间对于可靠的自由能量计算至关重要.

研究的目的:

  • 评估AE和基于时间序列的模型对于发现简历的适用性.
  • 为了调查AE是否捕获缓慢或高方差分子动力学.
  • 为了比较不同的时间序列模型来识别直角CV.

主要方法:

  • 审查自动编码器 (AE),时间滞后的AE和VAMPnet.
  • 数字示例展示了AE和时间序列模型的性能.
  • 无状态可逆VAMP网 (SRVs) 应用于氨酸二和氨酸异构化.
  • 分析异型扩散,以探索模型-委托者概率关系.

主要成果:

  • AEs识别了高方差模式,而不是自由能量计算所必需的缓慢动态.
  • 基于时间序列的模型,包括修改的TAE和SRV,成功捕捉了慢模式.
  • SRV和修改后的TAE产生直角的多维CV.
  • SRV有效地确定了N-乙-N'-甲基亚拉尼胺和三氨酸异构化的CV.

结论:

  • 基于时间序列的模型在分子模拟中发现相关的CV方面优于标准AE.
  • SRVs为代CV发现提供了强大的方法,并产生直角变量.
  • 需要进一步的研究来将时间序列模型与犯人概率联系起来.