BioModel Engineering: Its role in Systems Biology and Synthetic Biology

Authors David Roger Gilbert, Rainer Breitling, Monika Heiner



PDF
Thumbnail PDF

File

DagSemProc.09091.4.pdf
  • Filesize: 61 kB
  • 2 pages

Document Identifiers

Author Details

David Roger Gilbert
Rainer Breitling
Monika Heiner

Cite As Get BibTex

David Roger Gilbert, Rainer Breitling, and Monika Heiner. BioModel Engineering: Its role in Systems Biology and Synthetic Biology. In Formal Methods in Molecular Biology. Dagstuhl Seminar Proceedings, Volume 9091, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009) https://doi.org/10.4230/DagSemProc.09091.4

Abstract

BioModel Engineering  takes place at the interface of computing
science, mathematics, engineering and biology, and provides a
systematic approach for designing, constructing and analyzing
computational models of biological systems. Some of its central
concepts are inspired by efficient software engineering strategies. BioModel Engineering does not aim at engineering biological systems
per se, but rather aims at describing their structure and behavior,
in particular at the level of intracellular molecular processes,
using computational tools and techniques in a principled way.

The two major application areas of BioModel Engineering are systems
biology and synthetic biology. In the former, the aim is the design
and construction of models of existing biological systems, which
explain observed properties and predict the response to experimental
interventions; in the latter, BioModel Engineering is used as part
of a general strategy for designing and constructing synthetic
biological systems with novel functionalities.

The overall steps in building computational models in a BioModel
Engineering framework are: Problem Identification,
Model Construction,
Static and Dynamic Analysis,
Simulation, and
Model management and development.

A major theme in BioModel Engineering is that of constructing a
(qualitative) model means (1) finding the structure, (2) obtaining
an initial state and (3) parameter fitting.  In an approach that
we have taken, the structure is
obtained by piecewise construction of models from modular parts,
the initial state which describes concentrations of species or
numbers of molecules is obtained by analysis of the structure, and
parameter fitting comprises determining the rate parameters of the
kinetic equations by reference to trusted data.

Model checking can play a key role in BioModel Engineering – for
example in recent work we have shown
how parameter estimation can be achieved by characterising the
desired behaviour  of a model with a temporal logic property and
altering the model to make it conform to the property as determined
through model checking.

Subject Classification

Keywords
  • Biochemical systems
  • models
  • design
  • construction
  • systems biology
  • synthetic biology
  • model checking.

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail