#!/usr/bin/env python
# coding: utf-8
# ### One-bin `2A <-> 3B` reaction, with 1st-order kinetics in both directions, taken to equilibrium
#
# Diffusion not applicable (just 1 bin)
# ### TAGS : "reactions 1D", "basic"
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LAST_REVISED = "May 4, 2025"
LIFE123_VERSION = "1.0.0rc3" # Library version this experiment is based on
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#import set_path # Using MyBinder? Uncomment this before running the next cell!
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#import sys, os
#os.getcwd()
#sys.path.append("C:/some_path/my_env_or_install") # CHANGE to the folder containing your venv or libraries installation!
# NOTE: If any of the imports below can't find a module, uncomment the lines above, or try: import set_path
from experiments.get_notebook_info import get_notebook_basename
from life123 import ChemData, BioSim1D, check_version
from life123 import GraphicLog
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check_version(LIFE123_VERSION)
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# Initialize the HTML logging
log_file = get_notebook_basename() + ".log.htm" # Use the notebook base filename for the log file
# Set up the use of some specified graphic (Vue) components
GraphicLog.config(filename=log_file,
components=["vue_cytoscape_2"],
extra_js="https://cdnjs.cloudflare.com/ajax/libs/cytoscape/3.21.2/cytoscape.umd.js")
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# Initialize the system
chem_data = ChemData(names=["A", "B"]) # NOTE: Diffusion not applicable (just 1 bin)
bio = BioSim1D(n_bins=1, chem_data=chem_data)
bio.set_uniform_concentration(chem_index=0, conc=10.)
bio.set_uniform_concentration(chem_index=1, conc=50.)
bio.describe_state()
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# Specify the reaction
reactions = bio.get_reactions()
# Reaction 2A <-> 3B , with 1st-order kinetics in both directions
reactions.add_reaction(reactants=[(2,"A",1)], products=[(3,"B",1)], forward_rate=5., reverse_rate=2.)
reactions.describe_reactions()
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# Send the plot of the reaction network to the HTML log file
reactions.plot_reaction_network("vue_cytoscape_2")
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# Let's enable history - by default for all chemicals and all bins
bio.enable_history(take_snapshot=True, caption="Initial state")
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bio.get_bin_history(bin_address=0)
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# ### First step
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# First step
bio.react(time_step=0.05, n_steps=1)
bio.describe_state()
# We're taking a smaller first step than in experiment "reaction_2", to avoid over-shooting the equilibrium value with too large a step!
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# ### Numerous more steps
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# Numerous more steps
bio.react(time_step=0.1, n_steps=100)
bio.describe_state()
# ### Equilibrium
# Consistent with the 5/2 ratio of forward/reverse rates (and the 1st order reactions),
# the systems settles in the following equilibrium: [A] = 16.25 , [B] = 40.625
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# Verify that the reaction has reached equilibrium
bio.reaction_dynamics.is_in_equilibrium(rxn_index=0, conc=bio.bin_snapshot(bin_address = 0))
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bio.get_bin_history(bin_address=0)
# # Plots of changes of concentration with time
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bio.plot_history_single_bin(bin_address=0,
title="Reaction 2A <-> 3B . Concentrations at bin 0")
# ### Notice the *early overshoots* (the time step is too large early in the simulation!)
# Variable, adaptive time steps are explored at length in the _"reactions_single_compartment"_ experiments
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