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相关概念视频

Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

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Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
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Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Distributions to Estimate Population Parameter01:26

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The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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Dose-Response Relationship: Selectivity and Specificity01:25

Dose-Response Relationship: Selectivity and Specificity

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Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and...
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Updated: Jun 3, 2025

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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贝叶斯基因组对"omic"反应的基准剂量估计.

Daniel Zilber1,2, Kyle P Messier1,2, John House1

  • 1Division of Intramural Research, Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, United States.

Bioinformatics (Oxford, England)
|January 9, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的多变量方法来估计基因组的基准剂量 (BMD),通过考虑基因相关性来改善毒理风险评估. 该方法增强了监管科学,并有助于生成机械路径的假设.

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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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科学领域:

  • 环境毒理学环境毒理学
  • 计算生物学是一种计算生物学.
  • 统计建模 统计建模

背景情况:

  • 估计有毒基准点,如基准剂量 (BMD),对于环境污染监管至关重要.
  • 目前的毒性评估通常使用单变量方法,一次分析一个基因或组织,忽视终点之间的相关性.
  • 这种限制在转录学中尤为重要,因为大规模的基因表达数据是常见的.

研究的目的:

  • 在特定的基因组中开发基准剂量 (BMD) 的统计原则的多变量估计程序.
  • 扩展基础的单变体BMD方法来处理转录学中的相关数据.
  • 为监管毒理学和假设生成提供一个强大的方法.

主要方法:

  • 在基因组中开发了用于基准剂量 (BMD) 计算的多变量估计程序.
  • 该方法从统计学上解释了一组内基因之间的相关性.
  • 使用R和C++ (BS-BMD) 实现了该程序.

主要成果:

  • 多变量方法用5天的老鼠研究和Hallmark基因组来说明.
  • 结果与美国环保署计算的现有基准剂量 (BMD) 值进行了比较.
  • 基于原则的多变量方法比以前用于转录基因数据的临时方法提供了进步.

结论:

  • 开发的多变量基准剂量 (BMD) 方法有效地通过结合相关性来估计基因组的毒性.
  • 这种方法提供了统计学上合理的扩展,将单变量方法扩展到转录学多变量领域.
  • 该方法在监管毒理学中有应用,可以促进机械路径的假设生成.