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相关概念视频

Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

1.9K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.9K
Bioavailability Enhancement: Determination and Conceptual Approaches in Overcoming Bioavailability Problems01:22

Bioavailability Enhancement: Determination and Conceptual Approaches in Overcoming Bioavailability Problems

189
Body:Bioavailability is a critical pharmacological concept that measures the extent and rate at which an active drug ingredient or therapeutic moiety enters the systemic circulation, remaining unchanged. It's a pivotal factor in determining a drug's efficacy and safety.The Biopharmaceutics Classification System (BCS) plays an essential role in drug development by categorizing drugs into four classes based on their solubility and permeability. This classification aids in understanding drug...
189
Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

278
Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
A recent model describes pravastatin's hepatobiliary excretion,...
278
Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

236
Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
236
Measurement of Bioavailability: Pharmacokinetic Methods01:30

Measurement of Bioavailability: Pharmacokinetic Methods

257
Pharmacokinetics is a vital branch of pharmacology that examines how drugs are absorbed, distributed, metabolized, and excreted by the body. Two key methodologies in pharmacokinetics are plasma drug concentration studies and urinary drug excretion analyses, both of which provide critical insights into a drug's therapeutic efficacy and bioavailability.Plasma Drug Concentration-Time StudiesPlasma drug concentration-time studies involve analyzing blood samples at specific intervals to quantify...
257
Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

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Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
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相关实验视频

Updated: Jan 18, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
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G.AI.A:一个集成的机器学习平台,用于预测药品的生物积累和生态毒性.

Evangelos Tsoukas1, Michail Papadourakis1, Eleni Chontzopoulou1

  • 1Cloudpharm PC, Athens 15125, Greece.

Journal of chemical information and modeling
|January 16, 2026
PubMed
概括

本研究介绍了一个计算框架和网络平台 (G.AI.A),用于预测鱼类中的制药环境风险,包括生物度和生态毒性. 该工具通过评估化合物及其代谢物的生态安全性来帮助可持续的药物设计.

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Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
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科学领域:

  • 环境化学环境化学
  • 计算毒理学计算毒理学
  • 绿色化学 绿色化学

背景情况:

  • 水生环境中的药品由于生物活性化合物积累而构成生态风险.
  • 现有的风险评估方法可能耗时且资源密集.
  • 需要预测工具来支持可持续的化学品管理和药物设计.

研究的目的:

  • 开发一个计算框架来预测鱼类生物度和生态毒性.
  • 为全面的环境风险评估整合代谢物预测.
  • 创建一个可访问的网络平台 (G.AI.A) 快速环境风险评估.

主要方法:

  • 开发用于生物度 (BCF) 和生态毒性 (LC50) 预测的机器学习模型.
  • 使用SyGMa工具将代谢物预测纳入.
  • 利用分子指纹分析来解释模型的可解释性.
  • 多种工具的基准测试用于代谢物预测.

主要成果:

  • 高性能ML模型实现了ROC AUC得分,生物度为94.60%,生态毒性为96.06%.
  • 该框架成功预测了母化合物及其代谢物的风险.
  • G.AI.A 网络平台通过 SMILES 输入提供快速预测,并支持批处理.

结论:

  • 开发的框架和G.AI.A平台推进了药品的预测毒理学.
  • 这种方法支持绿色设计制药开发和可持续化学品管理.
  • 该工具可为监管机构和研究人员提供早期环境风险评估.