# Copyright (C) 2020 David J. Wooten
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program 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 this program. If not, see <http://www.gnu.org/licenses/>.
from typing import Type
from synergy.combination.synergy_model_2d import DoseDependentSynergyModel2D
from synergy.exceptions import InvalidDrugModelError
from synergy.single.dose_response_model_1d import DoseResponseModel1D
from synergy.single.log_linear import LogLinear
[docs]class Bliss(DoseDependentSynergyModel2D):
"""Bliss independence synergy model.
Bliss synergy is defined as the difference between the observed E and the E predicted by the Bliss Independence
assumption, which is that the effects of two drugs will multiply.
Members
-------
synergy : array_like, float
(-inf,0)=antagonism, (0,inf)=synergism
"""
[docs] def E_reference(self, d1, d2):
if not self.is_specified:
raise InvalidDrugModelError("Model is not specified.")
E1_alone = self.drug1_model.E(d1)
E2_alone = self.drug2_model.E(d2)
return E1_alone * E2_alone
def _get_synergy(self, d1, d2, E):
synergy = self.reference - E
return self._sanitize_synergy(d1, d2, synergy, 0)
@property
def _required_single_drug_class(self) -> Type[DoseResponseModel1D]:
return DoseResponseModel1D
@property
def _default_single_drug_class(self) -> Type[DoseResponseModel1D]:
return LogLinear