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Related Concept Videos

Cells Coordinate Growth and Proliferation02:36

Cells Coordinate Growth and Proliferation

Cell size is a significant factor impacting cellular design, function, and fitness. There exists some internal coordination by which cells double their masses before division, thus, achieving homeostasis. Coordination between cell growth and proliferation depends on the checkpoints in between cell cycle phases. Loss of coordination or failure in the checkpoint mechanism can drive the cell to uncontrolled growth and loss of cellular function. Like dividing cells that coordinate cellular growth,...
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The Cell Cycle Control System

The cell cycle regulation directs how a cell proceeds from one phase to the next and begins mitosis. The cell cycle control system includes intracellular regulatory molecules and external triggers. They provide "stop" or "advance" signals and operate at specific cell cycle stages termed checkpoints to ensure that a particular process is completed before the cell advances to the next phase.
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The Cell Cycle Control System02:11

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The cell cycle is an organized set of events that leads the cell to divide into two daughter cells, each containing chromosomes identical to the parent cell. It is the cell cycle that leads to the formation of an entire organism from a single-cell zygote. Besides, cell division also functions in the renewal or repair of tissues in adult multicellular eukaryotes. For example, in the bone marrow, the stem cells divide to form new blood cells. Although essential for several functions, cell...
The Cell Cycle Control System02:11

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The cell cycle is an organized set of events that leads the cell to divide into two daughter cells, each containing chromosomes identical to the parent cell. It is the cell cycle that leads to the formation of an entire organism from a single-cell zygote. Besides, cell division also functions in the renewal or repair of tissues in adult multicellular eukaryotes. For example, in the bone marrow, the stem cells divide to form new blood cells. Although essential for several functions, cell...
Molecular Factors Affecting Cell Division01:27

Molecular Factors Affecting Cell Division

Several external and internal factors influence the initiation and inhibition of cell division. For instance, the death of nearby cells or the release of human growth hormone (hGH) promotes cell division. In contrast, lack of hGH or crowding of cells can inhibit cell division.
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Positive Regulator Molecules01:45

Positive Regulator Molecules

To consistently produce healthy cells, the cell cycle—the process that generates daughter cells—must be precisely regulated.

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Updated: Jul 19, 2026

Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast
08:13

Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast

Published on: September 26, 2025

Computer evaluation of network dynamics models with application to cell cycle control in budding yeast.

N A Allen1, K C Chen, C A Shaffer

  • 1Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg 24061-0106, USA. nallen@vt.edu

Systems Biology
|September 21, 2006
PubMed
Summary

Evaluating complex biological models is challenging. This study presents an automatable process and free software to streamline the assessment of mathematical models for cellular processes, using yeast cell cycle as an example.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Molecular Systems Biology

Background:

  • Cellular processes involve intricate networks of interacting genes and proteins.
  • Mathematical models are crucial for describing these biological systems.
  • Evaluating large, complex models is a significant bottleneck in theoretical biology.

Purpose of the Study:

  • To develop an automatable process for evaluating complex mathematical models of cellular processes.
  • To create a flexible and freely available software system to implement this evaluation process.
  • To demonstrate the utility of the process using a detailed model of the budding yeast cell cycle.

Main Methods:

  • Development of an automated model evaluation framework.
  • Implementation of the framework into adaptable software.
  • Application of the software to a multi-component mathematical model of the budding yeast cell cycle.

Main Results:

  • The developed process and software system automate the time-consuming task of model evaluation.
  • The system is adaptable to various model types and readily available.
  • The yeast cell cycle model, incorporating dozens of regulatory equations, was successfully evaluated against over 100 phenotypic observations.

Conclusions:

  • The proposed automatable evaluation process significantly simplifies and accelerates the assessment of complex biological models.
  • The freely available software provides a valuable tool for theoretical molecular biologists.
  • This approach facilitates more efficient model development and validation in systems biology.