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#
# Repressilator.py: stochastic simulation of the repressilator
#
# the repressilator is a genetic regulatory network made of 3 genes that
# repress each other in a cycle, leading to oscillations in gene expression
# dynamics
#
# by Lidia Yamamoto, Belgium, June 2013
#
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
#
# Copyright (C) 2015 Lidia A. R. Yamamoto
# Contact: http://www.artificial-chemistries.org/
#
# This file is part of PyCellChemistry.
#
# PyCellChemistry is free software: you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# version 3, as published by the Free Software Foundation.
#
# PyCellChemistry is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with PyCellChemistry, see file COPYING. If not, see
# http://www.gnu.org/licenses/
#

Modules
		numpy sys

Classes
		Repressilator class Repressilator Methods defined here: __init__(self) initialize repressilator simulation (stochastic simulation by default): initially one gene is activated and the other two are repressed run(self, finalvt=200) run the repressilator until the simulation time reaches finalvt

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