vivarium.library.kinetic_rate_laws module

Kinetic rate law generation using the Convenience Kinetics formulation of Michaelis-Menten kinetics

Formulation provided in:

Liebermeister, Wolfram, and Edda Klipp. “Bringing metabolic networks to life: convenience rate law and thermodynamic constraints.” Theoretical Biology and Medical Modelling 3.1 (2006): 41.

# TODO – make a vmax options if enzyme kcats not available

class vivarium.library.kinetic_rate_laws.KineticFluxModel(all_reactions, kinetic_parameters)[source]

Bases: object

A kinetic rate law class

Parameters
  • all_reactions (dict) –

    all metabolic reactions, with: {reaction_id: {

    ’catalyzed by’: list, ‘is reversible’: bool, ‘stoichiometry’: dict, }}

  • kinetic_parameters (dict) –

    a dictionary of parameters a nested format: {reaction_id: {

    enzyme_id{

    param_id: param_value}}}

rate_laws

a dict, with a key for each reaction id, and then subdictionaries with each reaction’s enzymes and their rate law function. These rate laws are used directly from within this dictionary

get_fluxes(concentrations_dict)[source]

Use rate law functions to calculate flux

Parameters

concentrations_dict (dict) – all relevant molecules and their concentrations, in mmol/L. {molecule_id: concentration}

Returns

reaction_fluxes (dict) - with fluxes for all reactions

vivarium.library.kinetic_rate_laws.cofactor_denominator(concentration, km)[source]
vivarium.library.kinetic_rate_laws.cofactor_numerator(concentration, km)[source]
vivarium.library.kinetic_rate_laws.construct_convenience_rate_law(stoichiometry, enzyme, cofactors_sets, partition, parameters)[source]

Make a convenience kinetics rate law for one enzyme

Parameters
  • stoichiometry (dict) – the stoichiometry for the given reaction

  • enzyme (str) – the current enzyme

  • cofactors_sets – a list of lists with the required cofactors, grouped by [[cofactor set 1], [cofactor set 2]], each pair needs a kcat.

  • partition – a list of lists. each sublist is the set of cofactors for a given partition. [[C1, C2],[C3, C4], [C5]]

  • parameters (dict) – all the parameters with {parameter_id: value}

Returns

a kinetic rate law for the reaction, with arguments for concentrations and parameters, and returns flux.

vivarium.library.kinetic_rate_laws.get_molecules(reactions)[source]

Get a list of all molecules used by reactions

Parameters

reaction (dict) – all reactions that will be used by transport

Returns

all molecules used by these reactions

Return type

self.molecule_ids (list)

vivarium.library.kinetic_rate_laws.make_configuration(reactions)[source]

Make the rate law configuration, which tells the parameters where to be placed.

Parameters

reactions (dict) – all reactions that will be made into rate laws, in the same format as all_reactions (above).

Returns

includes partition and reaction_cofactor entries for each reaction

Return type

rate_law_configuration (dict)

vivarium.library.kinetic_rate_laws.make_rate_laws(reactions, rate_law_configuration, kinetic_parameters)[source]

Make a rate law for each reaction

Parameters
  • reactions (dict) – in the same format as all_reactions, described above

  • rate_law_configuration (dict) –

    with an embedded structure: {enzyme_id: {

    ’reaction_cofactors’: {

    reaction_id: [cofactors list] }

    ’partition’: [partition list] }

    }

  • kinetic_parameters (dict) –

    with an embedded structure: {reaction_id: {

    ’enzyme_id’: {

    parameter_id: value }

    }

    }

Returns

each reaction_id is a key and has sub-dictionary for each relevant enzyme,

with kinetic rate law functions as their values

Return type

rate_laws (dict)

vivarium.library.kinetic_rate_laws.test_kinetics()[source]