biocrnpyler.core.Hill
- class biocrnpyler.core.Hill(k: float, s1: Species, K: float, n: float, d: Species)[source]
Bases:
PropensityBase class for Hill-type propensities.
Hill propensities implement cooperative binding kinetics with sigmoidal response curves. This base class provides common functionality for positive and negative Hill functions.
- Parameters:
k (
floatorParameterEntry) – Maximum rate constant. Must be positive.s1 (
Species) – Input species that drives the Hill function.K (
floatorParameterEntry) – Half-saturation (dissociation) constant. Must be positive.n (
floatorParameterEntry) – Hill coefficient (cooperativity). Must be positive. Values > 1 indicate positive cooperativity, < 1 negative cooperativity.d (
SpeciesorNone) – Optional species for proportional Hill functions. If provided, rate is proportional to this species concentration.
- Attributes:
See also
HillPositivePositive Hill function.
HillNegativeNegative Hill function (repression).
ProportionalHillPositiveProportional positive Hill.
ProportionalHillNegativeProportional negative Hill.
Notes
This is an abstract base class. Use the specific subclasses:
HillPositive: Activation, \(k [{\text{s1}}]^n / (K^n + [{\text{s1}}]^n)\)HillNegative: Repression, \(k / (1 + ([{\text{s1}}]/K)^n)\)ProportionalHillPositive: \(k [{\text{d}}] [{\text{s1}}]^n / (K^n + [{\text{s1}}]^n)\)ProportionalHillNegative: \(k [{\text{d}}] / (1 + ([{\text{s1}}]/K)^n)\)
Hill functions are not reversible - k_reverse is not supported.
Methods
Create SBML kinetic law for Hill propensity.
Create a propensity from a dictionary.
Get all available propensity subclasses.
Check if an object is a valid Propensity subclass instance.
Generate human-readable string representation of propensity.
Generate formatted string of all propensity parameters.
Generate human-readable rate formula string.
- property K
Half-saturation (dissociation) constant value.
- Type:
float
- __eq__(other)[source]
Test equality between propensities.
- Parameters:
other (
Propensity) – Other propensity to compare with.- Returns:
True if propensities have the same class and propensity_dict.
- Return type:
bool
- create_kinetic_law(model, sbml_reaction, stochastic, **kwargs)[source]
Create SBML kinetic law for Hill propensity.
This method is shared by all Hill subclasses.
- Parameters:
model (
libsbml.Model) – SBML model object.sbml_reaction (
libsbml.Reaction) – SBML reaction to add kinetic law to.stochastic (
bool) – If True, uses stochastic formulation (same as deterministic for Hill functions).**kwargs – Additional arguments. ‘reverse_reaction’ is not supported.
- Returns:
Created SBML kinetic law object.
- Return type:
libsbml.KineticLaw- Raises:
ValueError – If reverse_reaction=True (Hill propensities cannot be reversible) or if rate formula is invalid.
- classmethod from_dict(propensity_dict)[source]
Create a propensity from a dictionary.
- Parameters:
propensity_dict (
dict) – Dictionary with ‘parameters’ and ‘species’ keys containing parameter and species values.- Returns:
New instance of the propensity class.
- Return type:
- static get_available_propensities() Set[source]
Get all available propensity subclasses.
- Returns:
Set of all Propensity subclass types available in BioCRNpyler.
- Return type:
set
Examples
>>> propensities = bcp.Propensity.get_available_propensities() >>> bcp.MassAction in propensities True
- property is_reversible
Whether the propensity represents a reversible reaction.
Default is False. Subclasses override this for reversible kinetics.
- Type:
bool
- static is_valid_propensity(propensity_type) bool[source]
Check if an object is a valid Propensity subclass instance.
Recursively checks all subclasses of Propensity to determine if the given object is a valid propensity type.
- Parameters:
propensity_type (
object) – Object to check for Propensity validity.- Returns:
True if
propensity_typeis an instance of Propensity or any of its subclasses, False otherwise.- Return type:
bool
Examples
>>> prop = bcp.MassAction(k_forward=100.0) >>> bcp.Propensity.is_valid_propensity(prop) True >>> bcp.Propensity.is_valid_propensity("not a propensity") False
- property k
Maximum rate constant value.
- Type:
float
- property k_forward
Forward rate constant.
- Raises:
NotImplementedError – Must be implemented by subclasses that use rate constants.
- Type:
Float
- property k_reverse
Reverse rate constant for reversible reactions.
- Raises:
NotImplementedError – Must be implemented by subclasses that use rate constants.
- Type:
Float or None
- property n
Hill coefficient (cooperativity) value.
- Type:
float
- pretty_print(show_parameters=True, **kwargs)[source]
Generate human-readable string representation of propensity.
- Parameters:
show_parameters (
bool, defaultTrue) – If True, includes parameter values in output.**kwargs – Additional keyword arguments passed to formatting methods.
- Returns:
Formatted string showing rate formula and optionally parameters.
- Return type:
str
- pretty_print_parameters(show_keys=True, **kwargs)[source]
Generate formatted string of all propensity parameters.
- Parameters:
show_keys (
bool, defaultTrue) – If True, shows search and found keys for ModelParameter objects (useful for debugging parameter lookup).**kwargs – Additional formatting keyword arguments.
- Returns:
Formatted string listing all parameters and their values.
- Return type:
str