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Updated: Jun 2, 2026

Reprograming Model of Human Monocyte-derived Macrophages for In-vitro Assays
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Reprograming Model of Human Monocyte-derived Macrophages for In-vitro Assays

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Systems biology model repository for macrophage pathway simulation.

Masao Nagasaki1, Ayumu Saito, André Fujita

  • 1Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan. masao@hgc.jp

Bioinformatics (Oxford, England)
|April 21, 2011
PubMed
Summary

The Macrophage Pathway Knowledgebase (MACPAK) provides a computational system for studying macrophage molecular pathways. It integrates 230 expert-verified reviews into dynamic mathematical models for research analysis.

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Area of Science:

  • Computational biology
  • Immunology
  • Systems biology

Background:

  • Macrophage research is crucial for understanding immune responses.
  • Dynamic pathway modeling offers deeper insights into cellular processes.
  • Existing knowledge bases may lack integrated dynamic models.

Purpose of the Study:

  • To develop a comprehensive computational system for macrophage pathway analysis.
  • To integrate expert-verified knowledge into dynamic mathematical models.
  • To provide researchers with a tool for querying and studying macrophage molecular dynamics.

Main Methods:

  • Integration of 230 expert-verified reviews.
  • Conversion of knowledge into 230 dynamic mathematical pathway models.
  • Description of models using Cell System Markup Language (CSML).

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

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Last Updated: Jun 2, 2026

Reprograming Model of Human Monocyte-derived Macrophages for In-vitro Assays
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Published on: April 18, 2025

A Web Tool for Generating High Quality Machine-readable Biological Pathways
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A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Main Results:

  • The Macrophage Pathway Knowledgebase (MACPAK) was created.
  • MACPAK integrates 24,009 entities and 12,774 processes.
  • Models are compatible with the Cell Illustrator platform and Cytoscape.

Conclusions:

  • MACPAK is a valuable computational resource for biomedical researchers.
  • It facilitates the study of dynamic behaviors in macrophage molecular pathways.
  • The system enhances the analysis and understanding of complex biological systems.