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Related Concept Videos

Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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...
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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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Published on: October 19, 2021

Bioinformatics, multiscale modeling and the IUPS Physiome Project.

Peter J Hunter1, Edmund J Crampin, Poul M F Nielsen

  • 1Auckland Bioengineering Institute, The University of Auckland, 70 Symonds St, Auckland, New Zealand. p.hunter@auckland.ac.nz

Briefings in Bioinformatics
|May 15, 2008
PubMed
Summary
This summary is machine-generated.

Multiscale modeling links organ-level physiology to subcellular processes. CellML aids this by enabling model encoding for tools and repositories, exemplified by the heart Physiome Project.

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Area of Science:

  • Computational biology
  • Physiology
  • Biophysics

Background:

  • Multiscale modeling is crucial for integrating diverse biological scales, from organs to subcellular signaling.
  • Existing XML markup languages, such as CellML, facilitate the standardization and sharing of computational models.
  • Understanding complex physiological phenomena requires linking different levels of biological organization.

Purpose of the Study:

  • To describe progress in multiscale modeling for biological systems.
  • To illustrate the application of CellML in building model repositories and software tools.
  • To showcase the heart Physiome Project's approach to understanding cardiac arrhythmias.

Main Methods:

  • Utilizing XML markup languages like CellML for model encoding.
  • Developing general-purpose software tools for model manipulation and analysis.
  • Integrating data and models across different biological scales (proteins, cells, tissues, organs).

Main Results:

  • Demonstrated the utility of CellML in creating shareable and reusable model components.
  • Showcased the development of a framework for multiscale modeling of cardiac function.
  • Provided insights into structure-function relationships relevant to cardiac arrhythmias.

Conclusions:

  • Multiscale modeling, supported by tools like CellML, is essential for comprehensive understanding of physiological systems.
  • The heart Physiome Project exemplifies a successful approach to linking molecular-level details to organ-level function.
  • Further development in model encoding and software is key to advancing systems biology.