Spatial Modeling Tools for Cell Biology

Abstract

Rapid accumulation of genomic and proteomic data from novel high throughput experimental screening technologies demand novel mathematical approaches and models to process and interpret massive amounts of data. Scientific potentials and military relevance of computational biology and bioinformatics have inspired DARPA/IPTO's visionary BioSPICE project to develop computational framework and modeling tools for cell biology. The goal of this CFDRC project was to formulate fundamental mathematical models and their numerical solution procedures for solving spatiotemporal cell biology problems and to develop software tools for multi-dimensional modeling of cell and tissue biology. CFDRC has developed Computational Biology, CoBi, software tools to simulate complex cell and organ biology problems. The code has been successfully applied to a number of cell biology problems including: bacterial chemosensing and chemotaxis, bacterial sporulation, EGFR signal transduction, cellular and tissue calcium oscillations, cellular and tissue oxygen and energy metabolism, morphogenesis of the yeast cell, and perfusion of a cell in an organ.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2006
Accession Number
ADA460852

Entities

People

  • Andrzej Przekwas
  • Patrick Wilkerson
  • Rodrigo Teixeira
  • Tom Friend
  • Z. J. Chen

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Cardiovascular Physiological Phenomena
  • Cell Membrane
  • Cell Physiological Processes
  • Cells
  • Cellular Structures
  • Chemical Kinetics
  • Chemical Reactions
  • Chemical Synthesis
  • Chemistry
  • Computational Biology
  • Computational Fluid Dynamics
  • Computational Science
  • Eukaryotes
  • Fluid Flow
  • Fungi
  • Mathematical Models
  • Medical Personnel

Fields of Study

  • Biology
  • Mathematics

Readers

  • Database Systems and Applications
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Molecular Biology and Genetics

Technology Areas

  • Biotechnology