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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...
Proteomics01:33

Proteomics

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.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
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Genomics

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...
Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's proficiency in drug...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Updated: Jun 15, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Future perspectives - proposal for Oxford Physiome Project.

Yoshitaka Oku1

  • 1Department of Physiology, Hyogo College of Medicine, Nishinomiya, Japan. yoku@yomed.ac.jp

Advances in Experimental Medicine and Biology
|March 11, 2010
PubMed
Summary
This summary is machine-generated.

The Physiome Project aims to understand life by recreating biological behaviors. Utilizing object-oriented meta-languages offers a more readable and adaptable approach for sharing computational models, advancing integrated biological system modeling.

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Microbial Communities in Nature and Laboratory - Interview
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Microbial Communities in Nature and Laboratory - Interview

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Last Updated: Jun 15, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

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Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

Area of Science:

  • Computational Biology
  • Systems Biology
  • Physiology

Background:

  • The Physiome Project employs "analysis by synthesis" to understand living organisms by replicating their functions.
  • Sharing computational models across diverse programming languages and applications is crucial for developing integrated biological models.

Purpose of the Study:

  • To address the limitations of XML-based languages in model sharing, which are difficult to read and edit.
  • To propose object-oriented meta-languages as a superior alternative for creating and sharing computational biological models.

Main Methods:

  • Evaluating the challenges associated with current XML-based markup languages for model sharing.
  • Exploring the benefits of object-oriented meta-languages for describing structural organization and behavioral complexity.
  • Proposing a framework for using object-oriented languages to model biological elements.

Main Results:

  • XML-based languages present significant readability and editability challenges for source code.
  • Object-oriented languages offer advantages in describing hierarchical structures and managing complexity through statistical properties.
  • Object-oriented meta-languages facilitate translation and transplantation across different computing environments.

Conclusions:

  • Object-oriented meta-languages provide a more effective and user-friendly approach for developing and sharing computational models in biology.
  • Adopting object-oriented languages for describing biological elements is a key next step for building comprehensive integrated models, such as for the respiratory control system.