Hybrid Control Models and Tools for Biological Regulatory Networks

Abstract

This report describes the research completed under Research Agreement DAAD19-03-1-0373 awarded to Stanford University as part of DARPAs BioComputation Program. The overall goal of this research is to design mathematical models and analysis techniques based on control theory and hybrid systems to help understand intra- and inter-cellular biological regulatory networks. One of the products of this research was integrated into the BioSPICE tool. developed by SRI and providing a common framework for the different methods developed as part of the BioComputation program. The research performed under this agreement produced: (i) a procedure. based on deterministic and stochastic hybrid system reachability tools, for identifying parameters of different biological systems; (ii) a technique for identifying parameters for continuous state models of protein regulatory networks; (iii) new insights. provided by these tools. into the operation of the mechanisms behind Planar Cell Polarity in Drosophila wings. and into the survival analysis of Bacillus subtilis.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2003
Accession Number
ADA460925

Entities

People

  • Claire J. Tomlin
  • J. D. Axelrod
  • S. S. Sastry

Organizations

  • Stanford University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Automata
  • Cell Polarity
  • Computational Biology
  • Computational Science
  • Computations
  • Computer Science
  • Differential Equations
  • Equations
  • Geometry
  • Hybrid Systems
  • Interdisciplinary Science
  • Linear Differential Equations
  • Mathematical Models
  • Models
  • Systems Biology

Fields of Study

  • Biology

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design
  • Technical Research and Report Writing.