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関連する概念動画

Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

3.7K
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...
3.7K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

126
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...
126
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

85
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
85
Dose-Response Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

5.2K
The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
5.2K
Dose-Response Relationship: Selectivity and Specificity01:25

Dose-Response Relationship: Selectivity and Specificity

8.1K
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...
8.1K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

198
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
198

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Updated: Sep 9, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

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クラスタレベルでの用量反応を予測するための階層的な制限密度回帰モデル

Michael L Pennell1, Matthew W Wheeler2, Scott S Auerbach3

  • 1Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, USA.

Environmetrics
|September 2, 2025
PubMed
まとめ
この要約は機械生成です。

化学的毒性のスクリーニングには新しい統計的方法が必要です. 制限された物流密度回帰 (COLDER) は,遺伝子発現データを同時にモデル化し,化学安全性評価のためのトランスクリプトミックアッセイの分析を改善します.

キーワード:
ベイジアン非パラメトリック基準用量ドス・レスポンス・モデリング機能データ分析スティック・ブレーキング毒性ゲノミクス

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Establishing a Competing Risk Regression Nomogram Model for Survival Data
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An R-Based Landscape Validation of a Competing Risk Model
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Last Updated: Sep 9, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

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Establishing a Competing Risk Regression Nomogram Model for Survival Data
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An R-Based Landscape Validation of a Competing Risk Model
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科学分野:

  • 毒理学について
  • バイオ情報学
  • 統計モデリング

背景:

  • トランスクリプトミックの測定は,化学的毒性のスクリーニングのための大規模なデータセットを生成します.
  • 現在の方法は遺伝子を個別に分析し,高レベルの曝露には柔軟性がない.
  • 既存のアプローチは 生物学的経路内の遺伝子間で情報を共有しません

研究 の 目的:

  • 遺伝子発現データの同時モデリングのための制限された物流密度回帰 (COLDER) を導入する.
  • 毒性のスクリーニングにおける現在の統計的方法の限界に対処する.
  • 形状の変化と経路情報を共有する方法を開発する.

主な方法:

  • 提案された制限された物流密度回帰 (COLDER) モデル.
  • 以前の割り当てのために,離散的ロジスティック・ブレイキング・プロセス (LSBP) を利用した.
  • 組み込まれた遺伝子レベルの特性 (例えば,経路の構成) と生物学的に妥当な形状の制約.
  • 基因経路内の基準用量の推定後部分布

主要な成果:

  • COLDERは複数の遺伝子の表現データを同時にモデル化することを可能にします.
  • この方法は同じ経路内の遺伝子間の情報共有を可能にします
  • 基準用量の後部分布は直接見積もることができる.
  • モデル性能はシミュレーションと国家毒理学プログラム研究によって評価された.

結論:

  • COLDERは,高通量毒性データを分析するための改善された統計的アプローチを提供します.
  • この方法は,化学安全のために大規模なトランスクリプトミックのデータセットの合成を強化します.
  • COLDERは,より生物学的に妥当で有益な量反応の分析を提供します.