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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 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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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.
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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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Human anatomy is the scientific study of the body's structures. Some of these structures are very small and can only be observed and analyzed with the assistance of a microscope. Other larger structures can readily be seen, manipulated, measured, and weighed. The word "anatomy" comes from a Greek root that means "to cut apart." Human anatomy was first studied by observing the body's exterior and the wounds of soldiers and other injuries. Later, physicians were allowed to...
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Related Experiment Video

Updated: Mar 3, 2026

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins
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Perspectives of physiome research.

Chae Hun Leem1

  • 1Department of Physiology, University of Ulsan College of Medicine, Seoul, Korea.

Integrative Medicine Research
|May 3, 2017
PubMed
Summary
This summary is machine-generated.

Physiome integrates physiological data to create a systems-level understanding. This approach is crucial for advancing physiological research in the 21st century.

Keywords:
model simulationoriental medicinephysiome

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Area of Science:

  • Physiology
  • Systems Biology
  • Computational Biology

Background:

  • The concept of physiome aims to synthesize fragmented physiological data into a comprehensive system.
  • The term "physiome" was coined by James B. Bassingthwaight in 1993.
  • It was officially recognized by the International Union of Physiological Societies as a key 21st-century research objective.

Purpose of the Study:

  • To introduce the fundamental concepts of physiome.
  • To elucidate the rationale and importance of pursuing physiome research.
  • To outline the strategic approaches required for physiome development and application.

Main Methods:

  • Review of existing physiological data integration strategies.
  • Analysis of the historical development and definition of physiome.
  • Discussion of methodologies for constructing and utilizing physiome models.

Main Results:

  • Physiome represents a paradigm shift towards holistic physiological understanding.
  • Integration of diverse physiological datasets is essential for systems-level insights.
  • Strategic planning is necessary to overcome challenges in physiome construction.

Conclusions:

  • Physiome research is vital for advancing physiological sciences.
  • The development of physiome requires interdisciplinary collaboration and advanced computational tools.
  • Understanding physiome enables novel applications in health and disease research.