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

Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

2.2K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
2.2K
Random Sampling Method01:09

Random Sampling Method

11.8K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures 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. Among the various sampling methods used by...
11.8K
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

918
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
918
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

438
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
438
Optimization Problems01:26

Optimization Problems

217
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
217
Methods of Medium Optimization01:28

Methods of Medium Optimization

69
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
69

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

Bifunctional Precursor-Assisted Shell Growth and Exciton Dynamics of Highly Luminescent CuInS<sub>2</sub>/ZnS Quantum Dots.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Reparameterization of the Amber RNA Force Field Non-Bonded Terms.

bioRxiv : the preprint server for biology·2026
Same author

A meta-reasoning and dual-level cognitive decision-making approach for blind-spot safety in autonomous driving.

ISA transactions·2026
Same author

Nearest Neighbor Parameters for Estimating the Folding Stability of RNA Including Pseudouridine.

bioRxiv : the preprint server for biology·2026
Same author

An integrated molecular characterization and simulation study of chain length effects on PFAS adsorption at hydrophobic interfaces.

Water research·2026
Same author

Fluorescence encoding technology based tetrahedral nano-string for logic identification of breast cancer cells.

Materials today. Bio·2026
Same journal

Demonstration of a quantum C-NOT gate in a time-multiplexed fully reconfigurable photonic processor.

Nature communications·2026
Same journal

Nonlinear quantum light source with van der Waals ferroelectric NbOX<sub>2</sub> (X = Br, I).

Nature communications·2026
Same journal

Antagonistic histone H2A variants and autonomous heterochromatin formation shape epigenomic patterns in Arabidopsis.

Nature communications·2026
Same journal

The long tail of nitrate pollution in groundwater challenges governance of global water quality.

Nature communications·2026
Same journal

Select microbial metabolites promote tau aggregation in a murine tauopathy model.

Nature communications·2026
Same journal

Warming climate has lengthened global intense tropical cyclone seasons.

Nature communications·2026
查看所有相关文章

相关实验视频

Updated: Apr 28, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

16.2K

采样设计:通过连接变量和蒙特卡洛采样连续优化进行RNA设计.

Wei Yu Tang1,2, Ning Dai1, Tianshuo Zhou1

  • 1School of EECS, Oregon State University, Corvallis, OR, USA.

Nature communications
|February 19, 2026
PubMed
概括
此摘要是机器生成的。

我们开发了一种用于RNA序列设计的新机器学习方法,提高了用于医疗应用的人工RNA分子创造的准确性. 这种方法解决了计算挑战,优于现有的技术.

更多相关视频

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.0K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

839

相关实验视频

Last Updated: Apr 28, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

16.2K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.0K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

839

科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 分子生物学分子生物学

背景情况:

  • RNA设计寻求序列折叠成医疗应用的目标二次结构.
  • 计算挑战来自于庞大的设计空间和众多竞争结构.
  • 像本地搜索这样的现有方法与RNA设计复杂性作斗争.

研究的目的:

  • 为RNA二次结构设计开发一种计算效率高,准确的方法.
  • 克服传统RNA设计算法的局限性.
  • 为了提高RNA折叠稳定性和准确性的预测.

主要方法:

  • 使用的机器学习技术:持续优化和蒙特卡洛采样.
  • 在有效RNA序列上的分布上使用梯度下降.
  • 引入了新的结合变量分布来建模核酸相关性.
  • 应用采样以近似目标,估计梯度,并选择候选序列.

主要成果:

  • 这种新方法始终优于最先进的RNA设计技术.
  • 在诸如博尔茨曼概率和集合缺陷等关键指标上取得了卓越的表现.
  • 在长而复杂的RNA结构中表现出特别的有效性.

结论:

  • 拟议的机器学习方法在RNA设计方面取得了重大进展.
  • 这种方法为生成功能性人工RNA分子提供了更强大的解决方案.
  • 这些发现对基于RNA的疗法和生物技术具有广泛的影响.