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相关概念视频

Cis-regulatory Sequences02:02

Cis-regulatory Sequences

11.9K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
11.9K
Steady State Concentration01:05

Steady State Concentration

6.0K
A steady state refers to the level of a drug in the body once it has reached an equilibrium between administration and elimination. It represents the point at which the drug administration rate equals the drug elimination rate, resulting in a relatively constant concentration in the body over time. The dynamic equilibrium is crucial to ensure the drug's effectiveness with minimal risk of toxicity.
Most drugs are administered in repeated doses at fixed intervals or through continuous...
6.0K
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

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Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
768
Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Transient and Steady-state Response01:24

Transient and Steady-state Response

589
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
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What is Gene Expression?01:42

What is Gene Expression?

197.0K
Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
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相关实验视频

Updated: Feb 10, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

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基因调节网络在随机稳定状态下的贝叶斯推理.

Anshi Gupta, Ryeongkyung Yoon, Krešimir Josić

    bioRxiv : the preprint server for biology
    |February 9, 2026
    PubMed
    概括

    我们开发了一种新的贝叶斯方法,使用化学朗格温方程 (CLE) 来推断基因调节网络 (GRN) 结构. 这种方法可以识别调节相互作用和动力参数,而不需要过渡数据.

    科学领域:

    • 系统生物学 系统生物学
    • 计算生物学 计算生物学
    • 分子生物学分子生物学

    背景情况:

    • 基因调控网络 (GRNs) 对于协调基因表达和生物系统功能至关重要.
    • 当前的GRN推断方法往往忽视了推动基因表达动态的基本生化过程.
    • 了解GRN架构对于破译生物系统和开发向疗法至关重要.

    研究的目的:

    • 为GRN结构识别提供一种新的贝叶斯推理方法.
    • 使用化学朗格温方程 (CLE) 将生物化学动力学纳入GRN推理中.
    • 提高GRN推理方法的生物解释性和结构识别性.

    主要方法:

    • 开发了一个贝叶斯推理框架,利用化学朗格温方程 (CLE) 来建模在随机平衡下的基因表达动态.
    • 在处理GRN相互作用的稀疏性之前采用了规范化的马,从而能够选择性地缩小不受支持的相互作用.
    • 使用合成基因表达数据与已知的基因真相进行基准测试,验证了该方法.

    主要成果:

    • 从基因表达数据中成功推断出运动参数并确定了网络结构.
    • 证明了在不需要观察过渡动态的情况下推断调节周期的能力.
    • 贝叶斯的方法为GRN推断提供了生物解释性和结构识别性.

    更多相关视频

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    相关实验视频

    Last Updated: Feb 10, 2026

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

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    Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
    07:55

    Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

    Published on: May 31, 2011

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    MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data

    Published on: February 7, 2025

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    结论:

    • 基于CLE的贝叶斯新方法在GRN推断中取得了重大进展.
    • 这种方法有效地模拟生化过程,提高推断网络结构的准确性和可靠性.
    • 该方法为寻求可解释和可识别GRN模型的研究人员提供了有价值的替代方案.