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Related Concept Videos

Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Pharmacokinetic Models: Comparison and Selection Criterion01:26

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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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Multicompartment Models: Overview01:14

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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

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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.
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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.
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Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Knowledge Representation for Multi-Scale Physiology Route Modeling.

Natallia Kokash1, Bernard de Bono2

  • 1Peoples' Friendship University of Russia (RUDN University), Moscow, Russia.

Frontiers in Neuroinformatics
|March 5, 2021
PubMed
Summary
This summary is machine-generated.

We developed ApiNATOMY, a framework with a knowledge representation (KR) model and tools for assembling physiology route maps. This system aids in analyzing and visualizing complex physiological processes and interactions.

Keywords:
anatomyconnectivityknowledge managementmulti-scale modelontologyphysiology

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Area of Science:

  • Physiology
  • Computational Biology
  • Knowledge Representation

Background:

  • Physiology research requires robust methods for representing complex, multiscale biological processes.
  • Existing methods may lack the integration needed for topological and semantic analysis of physiological systems.

Purpose of the Study:

  • To introduce ApiNATOMY, a novel framework for the topological and semantic assembly of multiscale physiology route maps.
  • To present a knowledge representation (KR) format suitable for analysis and visualization by knowledge management (KM) tools.
  • To outline the KR model, modeling format, and KM procedures for creating instantiated models of physiological processes.

Main Methods:

  • Development of a conceptual KR model for capturing process interactions among anatomical entities.
  • Design of a KR format for analysis and visualization by KM tools.
  • Definition of KM procedures to translate abstraction-based specifications into instantiated models.

Main Results:

  • Demonstration of ApiNATOMY's capability to represent multiscale physiology route maps.
  • Presentation of a KR format that facilitates analysis and visualization.
  • Outline of a methodology for generating detailed physiology process models from concise specifications.

Conclusions:

  • ApiNATOMY provides a unified framework for building and analyzing complex physiology maps.
  • The proposed KR model and tools simplify the capture and representation of physiological process interactions.
  • This framework supports the translation of expert knowledge into computable models for deeper physiological insights.