def merge_models(self):
comm_model = CBModel(self.id)
old_ext_comps = []
ext_mets = []
self.reaction_map = {}
self.metabolite_map = {}
# default IDs
ext_comp_id = "ext"
biomass_id = "community_biomass"
comm_growth = "community_growth"
# create external compartment
comp = Compartment(ext_comp_id,
"extracellular environment",
external=True)
comm_model.add_compartment(comp)
# community biomass
met = Metabolite(biomass_id, "Total community biomass", ext_comp_id)
comm_model.add_metabolite(met, clear_tmp=False)
rxn = CBReaction(comm_growth,
name="Community growth rate",
reversible=False,
stoichiometry={biomass_id: -1},
lb=0,
ub=None,
objective=1)
comm_model.add_reaction(rxn, clear_tmp=False)
# add each organism
for org_id, model in self.organisms.items():
def rename(old_id):
return "{}_{}".format(old_id, org_id)
# add internal compartments
for c_id, comp in model.compartments.items():
if comp.external:
old_ext_comps.append(c_id)
else:
new_comp = Compartment(rename(c_id), comp.name)
comm_model.add_compartment(new_comp)
# add metabolites
for m_id, met in model.metabolites.items():
if met.compartment not in old_ext_comps: # if is internal
new_id = rename(m_id)
new_met = Metabolite(new_id, met.name,
rename(met.compartment))
new_met.metadata = met.metadata.copy()
comm_model.add_metabolite(new_met)
self.metabolite_map[(org_id, m_id)] = new_id
elif m_id not in comm_model.metabolites: # if is external but was not added yet
new_met = Metabolite(m_id, met.name, ext_comp_id)
new_met.metadata = met.metadata.copy()
comm_model.add_metabolite(new_met, clear_tmp=False)
ext_mets.append(new_met.id)
# add internal reactions
for r_id, rxn in model.reactions.items():
if rxn.reaction_type == ReactionType.EXCHANGE:
continue
new_id = rename(r_id)
new_stoichiometry = {
m_id if m_id in ext_mets else rename(m_id): coeff
for m_id, coeff in rxn.stoichiometry.items()
}
if r_id == model.biomass_reaction:
new_stoichiometry[biomass_id] = 1
new_rxn = CBReaction(
new_id,
name=rxn.name,
reversible=rxn.reversible,
stoichiometry=new_stoichiometry,
reaction_type=rxn.reaction_type,
lb=rxn.lb,
ub=rxn.ub,
)
comm_model.add_reaction(new_rxn, clear_tmp=False)
new_rxn.metadata = rxn.metadata.copy()
self.reaction_map[(org_id, r_id)] = new_id
# Add exchange reactions
for m_id in ext_mets:
rxn = CBReaction("R_EX_{}".format(m_id),
reversible=True,
stoichiometry={m_id: -1},
reaction_type=ReactionType.EXCHANGE)
comm_model.add_reaction(rxn, clear_tmp=False)
return comm_model
def generate_merged_model(self):
def _id_pattern(object_id, organism_id):
return "{}_{}".format(object_id, organism_id)
def _name_pattern(object_name, organism_name):
return "{} ({})".format(object_name, organism_name)
def _copy_object(obj, org_id, compartment=None):
new_obj = obj.copy()
new_obj.id = _id_pattern(obj.id, org_id)
new_obj.name = _name_pattern(obj.name, org_id)
if compartment:
new_obj.compartment = compartment
return new_obj
models_missing_extracelullar_compartment = [
m.id for m in self._organisms.itervalues()
if self._extracellular_compartment not in m.compartments
]
if models_missing_extracelullar_compartment:
raise RuntimeError(
"Extracellular compartment '{}' missing from models: '{}'".
format(self._extracellular_compartment,
"', '".join(models_missing_extracelullar_compartment)))
models_missing_biomass = [
m.id for m in self._organisms.itervalues()
if not m.biomass_reaction
]
if models_missing_biomass:
raise RuntimeError(
"Biomass reaction not found in models: {}".format(
"', '".join(models_missing_biomass)))
merged_model = CBModel(self.id)
merged_model.biomass_reaction = None
organisms_biomass_metabolites = {}
community_metabolite_exchange_lookup = {}
for org_id, model in self._organisms.items():
self._organisms_reactions[org_id] = set()
self._organisms_exchange_reactions[org_id] = {}
self._organisms_biomass_reactions[org_id] = {}
exchanged_metabolites = {
m_id
for r_id in model.get_exchange_reactions()
for m_id in model.reactions[r_id].stoichiometry
}
#
# Create additional extracellular compartment
#
if not self._merge_extracellular_compartments:
pool_compartment = Compartment('pool', 'common pool')
merged_model.add_compartment(pool_compartment)
export_pool_compartment = Compartment(
'pool_blacklist', 'blacklisted metabolite pool')
merged_model.add_compartment(export_pool_compartment)
for c_id, comp in model.compartments.items():
if c_id != self._extracellular_compartment or not self._merge_extracellular_compartments:
new_comp = _copy_object(comp, org_id)
merged_model.add_compartment(new_comp)
elif c_id not in merged_model.compartments:
merged_model.add_compartment(deepcopy(comp))
for m_id, met in model.metabolites.items():
if met.compartment != self._extracellular_compartment or not self._merge_extracellular_compartments:
new_met = _copy_object(
met, org_id, _id_pattern(met.compartment, org_id))
merged_model.add_metabolite(new_met, clear_tmp=False)
elif m_id not in merged_model.metabolites:
merged_model.add_metabolite(deepcopy(met), clear_tmp=False)
m_blacklisted = met.id in self._exchanged_metabolites_blacklist
if met.id in exchanged_metabolites and not self._merge_extracellular_compartments:
#
# For blacklisted metabolites create a separate pool from which metabolites can not be reuptaken
#
if m_blacklisted and self._interacting:
pool_id = _id_pattern(m_id, "pool_blacklist")
if pool_id not in merged_model.metabolites:
new_met = _copy_object(met, "pool_blacklist",
"pool_blacklist")
merged_model.add_metabolite(new_met,
clear_tmp=False)
exch_id = _id_pattern("R_EX_" + m_id,
"pool_blacklist")
exch_name = _name_pattern(
met.name, "pool (blacklist) exchange")
blk_rxn = CBReaction(exch_id,
name=exch_name,
reversible=False,
is_exchange=False,
is_sink=True)
blk_rxn.stoichiometry[pool_id] = -1.0
community_metabolite_exchange_lookup[
new_met.id] = exch_id
merged_model.add_reaction(blk_rxn)
pool_id = _id_pattern(m_id, "pool")
if pool_id not in merged_model.metabolites:
new_met = _copy_object(met, "pool", "pool")
merged_model.add_metabolite(new_met, clear_tmp=False)
exch_id = _id_pattern("R_EX_" + m_id, "pool")
exch_name = _name_pattern(met.name, "pool exchange")
new_rxn = CBReaction(exch_id,
name=exch_name,
reversible=True,
is_exchange=True)
new_rxn.stoichiometry[pool_id] = -1.0
community_metabolite_exchange_lookup[
new_met.id] = exch_id
merged_model.add_reaction(new_rxn)
for r_id, rxn in model.reactions.items():
is_exchange = rxn.is_exchange
if not is_exchange or not self._merge_extracellular_compartments:
new_rxn = _copy_object(rxn, org_id)
new_rxn.is_exchange = False
for m_id, coeff in rxn.stoichiometry.items():
m_blacklisted = m_id in self._exchanged_metabolites_blacklist
if model.metabolites[
m_id].compartment != self._extracellular_compartment or not self._merge_extracellular_compartments:
del new_rxn.stoichiometry[m_id]
new_id = _id_pattern(m_id, org_id)
new_rxn.stoichiometry[new_id] = coeff
if is_exchange:
if model.metabolites[
m_id].compartment == self._extracellular_compartment and not self._merge_extracellular_compartments:
# TODO: if m_id in self._exchanged_metabolites_blacklist:
pool_id = _id_pattern(m_id, "pool")
new_rxn.stoichiometry[pool_id] = -coeff
cnm = CommunityNameMapping(
organism_reaction=new_rxn.id,
original_reaction=r_id,
organism_metabolite=new_id,
extracellular_metabolite=pool_id,
original_metabolite=m_id,
community_exchange_reaction=
community_metabolite_exchange_lookup[
pool_id])
self._organisms_exchange_reactions[org_id][
new_rxn.id] = cnm
if not self.interacting:
sink_rxn = CBReaction(
'Sink_{}'.format(new_id),
is_exchange=False,
is_sink=True,
reversible=False)
sink_rxn.stoichiometry = {new_id: -1}
sink_rxn.lb = 0.0
merged_model.add_reaction(sink_rxn)
elif m_blacklisted:
pool_blacklist_id = _id_pattern(
m_id, "pool_blacklist")
blacklist_export_rxn = CBReaction(
'R_EX_BLACKLIST_{}'.format(new_id),
is_exchange=False,
is_sink=False,
reversible=False)
blacklist_export_rxn.stoichiometry = {
new_id: -1,
pool_blacklist_id: 1
}
blacklist_export_rxn.lb = 0.0
merged_model.add_reaction(
blacklist_export_rxn)
if is_exchange and not self._merge_extracellular_compartments:
new_rxn.reversible = True
new_rxn.lb = None
new_rxn.ub = None if self.interacting and not m_blacklisted else 0.0
if rxn.id == model.biomass_reaction:
new_rxn.reversible = False
if self._create_biomass and rxn.id == model.biomass_reaction:
new_rxn.objective = False
# Add biomass metabolite to biomass equation
m_id = _id_pattern('Biomass', org_id)
name = _name_pattern('Framed biomass', org_id)
comp = 'pool' if not self._merge_extracellular_compartments else self._extracellular_compartment
biomass_met = Metabolite(m_id, name, comp)
merged_model.add_metabolite(biomass_met,
clear_tmp=False)
new_rxn.stoichiometry[m_id] = 1
organisms_biomass_metabolites[org_id] = m_id
self._organisms_reactions[org_id].add(new_rxn.id)
merged_model.add_reaction(new_rxn)
else:
if is_exchange and self._merge_extracellular_compartments:
self._organisms_exchange_reactions[org_id][
rxn.id] = CommunityNameMapping(
organism_reaction=r_id,
original_reaction=r_id,
extracellular_metabolite=rxn.stoichiometry.
keys()[0],
original_metabolite=rxn.stoichiometry.keys()
[0],
organism_metabolite=None)
self._organisms_reactions[org_id].add(rxn.id)
if r_id in merged_model.reactions:
continue
new_rxn = deepcopy(rxn)
new_rxn.is_exchange = True
if rxn.id == model.biomass_reaction and self._create_biomass:
new_rxn.reversible = False
new_rxn.objective = False
m_id = _id_pattern('Biomass', org_id)
name = _name_pattern('Biomass', org_id)
comp = 'pool' if not self._merge_extracellular_compartments else self._extracellular_compartment
biomass_met = Metabolite(m_id, name, comp)
merged_model.add_metabolite(biomass_met,
clear_tmp=False)
new_rxn.stoichiometry[m_id] = 1
organisms_biomass_metabolites[org_id] = m_id
merged_model.add_reaction(new_rxn)
if r_id == model.biomass_reaction:
self._organisms_biomass_reactions[org_id] = new_rxn.id
if self._create_biomass:
biomass_rxn = CBReaction('R_Community_Growth',
name="Community Growth",
reversible=False,
is_exchange=False,
is_sink=True,
objective=1.0)
for org_biomass in organisms_biomass_metabolites.itervalues():
biomass_rxn.stoichiometry[org_biomass] = -1
merged_model.add_reaction(biomass_rxn)
merged_model.biomass_reaction = biomass_rxn.id
return merged_model
def generate_merged_model(self):
def _id_pattern(object_id, organism_id):
return "{}_{}".format(object_id, organism_id)
def _name_pattern(object_name, organism_name):
return "{} ({})".format(object_name, organism_name)
def _copy_object(obj, org_id, compartment=None):
new_obj = obj.copy()
new_obj.id = _id_pattern(obj.id, org_id)
new_obj.name = _name_pattern(obj.name, org_id)
if compartment:
new_obj.compartment = compartment
return new_obj
models_missing_extracelullar_compartment = [m.id for m in self._organisms.values()
if self._extracellular_compartment not in m.compartments]
if models_missing_extracelullar_compartment:
raise RuntimeError("Extracellular compartment '{}' missing from models: '{}'".format(
self._extracellular_compartment, "', '".join(models_missing_extracelullar_compartment)))
models_missing_biomass = [m.id for m in self._organisms.values() if not m.biomass_reaction]
if models_missing_biomass:
raise RuntimeError("Biomass reaction not found in models: {}".format("', '".join(models_missing_biomass)))
merged_model = CBModel(self.id)
merged_model.biomass_reaction = None
organisms_biomass_metabolites = {}
community_metabolite_exchange_lookup = {}
for org_id, model in self._organisms.items():
self._organisms_reactions[org_id] = []
self._organisms_exchange_reactions[org_id] = {}
self._organisms_biomass_reactions[org_id] = {}
exchanged_metabolites = {m_id for r_id in model.get_exchange_reactions()
for m_id in model.reactions[r_id].stoichiometry}
#
# Create additional extracellular compartment
#
if not self._merge_extracellular_compartments:
pool_compartment = Compartment('pool', 'common pool')
merged_model.add_compartment(pool_compartment)
export_pool_compartment = Compartment('pool_blacklist', 'blacklisted metabolite pool')
merged_model.add_compartment(export_pool_compartment)
for c_id, comp in model.compartments.items():
if c_id != self._extracellular_compartment or not self._merge_extracellular_compartments:
new_comp = _copy_object(comp, org_id)
merged_model.add_compartment(new_comp)
elif c_id not in merged_model.compartments:
merged_model.add_compartment(deepcopy(comp))
for m_id, met in model.metabolites.items():
if met.compartment != self._extracellular_compartment or not self._merge_extracellular_compartments:
new_met = _copy_object(met, org_id, _id_pattern(met.compartment, org_id))
merged_model.add_metabolite(new_met, clear_tmp=False)
elif m_id not in merged_model.metabolites:
merged_model.add_metabolite(deepcopy(met), clear_tmp=False)
m_blacklisted = met.id in self._exchanged_metabolites_blacklist
if met.id in exchanged_metabolites and not self._merge_extracellular_compartments:
#
# For blacklisted metabolites create a separate pool from which metabolites can not be reuptaken
#
if m_blacklisted and self._interacting:
pool_id = _id_pattern(m_id, "pool_blacklist")
if pool_id not in merged_model.metabolites:
new_met = _copy_object(met, "pool_blacklist", "pool_blacklist")
merged_model.add_metabolite(new_met, clear_tmp=False)
exch_id = _id_pattern("R_EX_" + m_id, "pool_blacklist")
exch_name = _name_pattern(met.name, "pool (blacklist) exchange")
blk_rxn = CBReaction(exch_id, name=exch_name, reversible=False, is_exchange=False, is_sink=True)
blk_rxn.stoichiometry[pool_id] = -1.0
community_metabolite_exchange_lookup[new_met.id] = exch_id
merged_model.add_reaction(blk_rxn)
pool_id = _id_pattern(m_id, "pool")
if pool_id not in merged_model.metabolites:
new_met = _copy_object(met, "pool", "pool")
merged_model.add_metabolite(new_met, clear_tmp=False)
exch_id = _id_pattern("R_EX_" + m_id, "pool")
exch_name = _name_pattern(met.name, "pool exchange")
new_rxn = CBReaction(exch_id, name=exch_name, reversible=True, is_exchange=True)
new_rxn.stoichiometry[pool_id] = -1.0
community_metabolite_exchange_lookup[new_met.id] = exch_id
merged_model.add_reaction(new_rxn)
for r_id, rxn in model.reactions.items():
is_exchange = rxn.is_exchange
if not is_exchange or not self._merge_extracellular_compartments:
new_rxn = _copy_object(rxn, org_id)
new_rxn.is_exchange = False
for m_id, coeff in rxn.stoichiometry.items():
m_blacklisted = m_id in self._exchanged_metabolites_blacklist
if model.metabolites[m_id].compartment != self._extracellular_compartment or not self._merge_extracellular_compartments:
del new_rxn.stoichiometry[m_id]
new_id = _id_pattern(m_id, org_id)
new_rxn.stoichiometry[new_id] = coeff
if is_exchange:
if model.metabolites[m_id].compartment == self._extracellular_compartment and not self._merge_extracellular_compartments:
# TODO: if m_id in self._exchanged_metabolites_blacklist:
pool_id = _id_pattern(m_id, "pool")
new_rxn.stoichiometry[pool_id] = -coeff
cnm = CommunityNameMapping(
organism_reaction=new_rxn.id,
original_reaction=r_id,
organism_metabolite=new_id,
extracellular_metabolite=pool_id,
original_metabolite=m_id,
community_exchange_reaction=community_metabolite_exchange_lookup[pool_id])
self._organisms_exchange_reactions[org_id][new_rxn.id] = cnm
if not self.interacting:
sink_rxn = CBReaction('Sink_{}'.format(new_id), is_exchange=False, is_sink=True, reversible=False)
sink_rxn.stoichiometry = {new_id: -1}
sink_rxn.lb = 0.0
merged_model.add_reaction(sink_rxn)
elif m_blacklisted:
pool_blacklist_id = _id_pattern(m_id, "pool_blacklist")
blacklist_export_rxn = CBReaction('R_EX_BLACKLIST_{}'.format(new_id),
is_exchange=False, is_sink=False,
reversible=False)
blacklist_export_rxn.stoichiometry = {new_id: -1, pool_blacklist_id: 1}
blacklist_export_rxn.lb = 0.0
merged_model.add_reaction(blacklist_export_rxn)
if is_exchange and not self._merge_extracellular_compartments:
new_rxn.reversible = True
new_rxn.lb = None
new_rxn.ub = None if self.interacting and not m_blacklisted else 0.0
if rxn.id == model.biomass_reaction:
new_rxn.reversible = False
if self._create_biomass and rxn.id == model.biomass_reaction:
new_rxn.objective = False
# Add biomass metabolite to biomass equation
m_id = _id_pattern('Biomass', org_id)
name = _name_pattern('Framed biomass', org_id)
comp = 'pool' if not self._merge_extracellular_compartments else self._extracellular_compartment
biomass_met = Metabolite(m_id, name, comp)
merged_model.add_metabolite(biomass_met, clear_tmp=False)
new_rxn.stoichiometry[m_id] = 1
organisms_biomass_metabolites[org_id] = m_id
self._organisms_reactions[org_id].append(new_rxn.id)
merged_model.add_reaction(new_rxn)
else:
if is_exchange and self._merge_extracellular_compartments:
self._organisms_exchange_reactions[org_id][rxn.id] = CommunityNameMapping(
organism_reaction=r_id,
original_reaction=r_id,
extracellular_metabolite=list(rxn.stoichiometry.keys())[0],
original_metabolite=list(rxn.stoichiometry.keys())[0],
organism_metabolite=None)
self._organisms_reactions[org_id].append(rxn.id)
if r_id in merged_model.reactions:
continue
new_rxn = deepcopy(rxn)
new_rxn.is_exchange = True
if rxn.id == model.biomass_reaction and self._create_biomass:
new_rxn.reversible = False
new_rxn.objective = False
m_id = _id_pattern('Biomass', org_id)
name = _name_pattern('Biomass', org_id)
comp = 'pool' if not self._merge_extracellular_compartments else self._extracellular_compartment
biomass_met = Metabolite(m_id, name, comp)
merged_model.add_metabolite(biomass_met, clear_tmp=False)
new_rxn.stoichiometry[m_id] = 1
organisms_biomass_metabolites[org_id] = m_id
merged_model.add_reaction(new_rxn)
if r_id == model.biomass_reaction:
self._organisms_biomass_reactions[org_id] = new_rxn.id
if self._create_biomass:
biomass_rxn = CBReaction('R_Community_Growth', name="Community Growth",
reversible=False, is_exchange=False, is_sink=True, objective=1.0)
for org_biomass in organisms_biomass_metabolites.values():
biomass_rxn.stoichiometry[org_biomass] = -1
merged_model.add_reaction(biomass_rxn)
merged_model.biomass_reaction = biomass_rxn.id
return merged_model
def __parse(self, text, filename=None):
text = text.replace("\r\n", "\n")
text = text.replace("\r", "\n")
re_long = re.compile("%.*?%", re.DOTALL | re.MULTILINE)
text = re_long.sub("\n", text)
re_short = re.compile("#.*?\n")
text = re_short.sub("\n", text)
sections = self.find_sections(text)
model = CBModel(basename(filename))
react_name, react_text, react_line = self.__find_section(text, sections, lambda x: re.search(r"reac", x, re.I))
const_name, const_text, const_line = self.__find_section(text, sections, lambda x: re.search(r"cons", x, re.I))
ext_m_name, ext_m_text, ext_m_line = self.__find_section(text, sections, lambda x: re.search(r"ext", x, re.I))
obj_name, obj_text, obj_line = self.__find_section(text, sections, lambda x: re.search(r"obj", x, re.I) and not re.search("des", x, re.I))
if react_text:
reactions = self.__parse_reactions_section(react_text, filename=filename, section_start=react_line, strip_comments=False)
for reaction, r_i in reactions:
for m_id in reaction.stoichiometry:
if m_id not in model.metabolites:
model.add_metabolite(Metabolite(elem_id=m_id, compartment=None), clear_tmp=True)
model.add_reaction(reaction, clear_tmp=True)
else:
warnings.warn("Could not find '-REACTIONS' section", BiooptParseWarning)
if const_text:
for (r_id, lb, ub), i in self.__parse_constraints_section(const_text, filename=filename, section_start=const_line, strip_comments=False):
if r_id in model.reactions and lb < 0 and not model.reactions[r_id].reversible:
warnings.warn_explicit(
"Reaction '{0}' from '{1}' has effective bounds not compatible with reaction direction in '{2}' section ({3} : [{4}, {5}])".format(r_id, const_name, react_name, "<->" if reactions[r_id].reversibl else "->", lb, ub),
BiooptParseWarning, filename=filename, lineno=const_line+i+1)
if r_id in model.reactions:
model.reactions[r_id].lb = lb
model.reactions[r_id].ub = ub
elif react_text:
warnings.warn_explicit(
"Reaction '{0}' from '{1}' section is not present in '{2}' section".format(r_id, const_name, react_name),
BiooptParseWarning, filename=filename, lineno=const_line+i+1)
else:
warnings.warn("Could not find '-CONSTRAINS' section", BiooptParseWarning)
if ext_m_text:
met2rxn = model.metabolite_reaction_lookup()
for m_external, i in self.__parse_external_metabolites_section(ext_m_text, filename=filename, section_start=ext_m_line, strip_comments=False):
if m_external.id in model.metabolites:
model.metabolites[m_external.id].boundary = True
for external_r_id, coef in met2rxn[m_external.id].items():
model.reactions[external_r_id].is_exchange = True
del model.reactions[external_r_id].stoichiometry[m_external.id]
elif react_text:
warnings.warn_explicit(
"Metabolite '{0}' from '{1}' section is not present in any reaction from '{2}' section".format(m_external.id, ext_m_name, react_name),
BiooptParseWarning, filename=filename, lineno=ext_m_line+i+1)
else:
warnings.warn("Could not find '-EXTERNAL METABOLITES' section", BiooptParseWarning)
if obj_text:
r_id, coef = self.parse_objective_section(obj_text, section_name=obj_name, reactions_section_name=react_name, filename=filename, section_start=obj_line, reactions=reactions, strip_comments=False)
model.reactions[r_id].objective = coef
else:
warnings.warn("Could not find '-OBJECTIVE' section", BiooptParseWarning)
return model
def __parse(self, text, filename=None):
text = text.replace("\r\n", "\n")
text = text.replace("\r", "\n")
re_long = re.compile("%.*?%", re.DOTALL | re.MULTILINE)
text = re_long.sub("\n", text)
re_short = re.compile("#.*?\n")
text = re_short.sub("\n", text)
sections = self.find_sections(text)
model = CBModel(basename(filename))
react_name, react_text, react_line = self.__find_section(
text, sections, lambda x: re.search(r"reac", x, re.I))
const_name, const_text, const_line = self.__find_section(
text, sections, lambda x: re.search(r"cons", x, re.I))
ext_m_name, ext_m_text, ext_m_line = self.__find_section(
text, sections, lambda x: re.search(r"ext", x, re.I))
obj_name, obj_text, obj_line = self.__find_section(
text, sections,
lambda x: re.search(r"obj", x, re.I) and not re.search(
"des", x, re.I))
if react_text:
reactions = self.__parse_reactions_section(
react_text,
filename=filename,
section_start=react_line,
strip_comments=False)
for reaction, r_i in reactions:
for m_id in reaction.stoichiometry:
if m_id not in model.metabolites:
model.add_metabolite(Metabolite(elem_id=m_id,
compartment=None),
clear_tmp=True)
model.add_reaction(reaction, clear_tmp=True)
else:
warnings.warn("Could not find '-REACTIONS' section",
BiooptParseWarning)
if const_text:
for (r_id, lb, ub), i in self.__parse_constraints_section(
const_text,
filename=filename,
section_start=const_line,
strip_comments=False):
if r_id in model.reactions and lb < 0 and not model.reactions[
r_id].reversible:
warnings.warn_explicit(
"Reaction '{0}' from '{1}' has effective bounds not compatible with reaction direction in '{2}' section ({3} : [{4}, {5}])"
.format(r_id, const_name, react_name,
"<->" if reactions[r_id].reversibl else "->",
lb, ub),
BiooptParseWarning,
filename=filename,
lineno=const_line + i + 1)
if r_id in model.reactions:
model.reactions[r_id].lb = lb
model.reactions[r_id].ub = ub
elif react_text:
warnings.warn_explicit(
"Reaction '{0}' from '{1}' section is not present in '{2}' section"
.format(r_id, const_name, react_name),
BiooptParseWarning,
filename=filename,
lineno=const_line + i + 1)
else:
warnings.warn("Could not find '-CONSTRAINS' section",
BiooptParseWarning)
if ext_m_text:
met2rxn = model.metabolite_reaction_lookup()
for m_external, i in self.__parse_external_metabolites_section(
ext_m_text,
filename=filename,
section_start=ext_m_line,
strip_comments=False):
if m_external.id in model.metabolites:
model.metabolites[m_external.id].boundary = True
for external_r_id, coef in met2rxn[m_external.id].items():
model.reactions[external_r_id].is_exchange = True
del model.reactions[external_r_id].stoichiometry[
m_external.id]
elif react_text:
warnings.warn_explicit(
"Metabolite '{0}' from '{1}' section is not present in any reaction from '{2}' section"
.format(m_external.id, ext_m_name, react_name),
BiooptParseWarning,
filename=filename,
lineno=ext_m_line + i + 1)
else:
warnings.warn("Could not find '-EXTERNAL METABOLITES' section",
BiooptParseWarning)
if obj_text:
r_id, coef = self.parse_objective_section(
obj_text,
section_name=obj_name,
reactions_section_name=react_name,
filename=filename,
section_start=obj_line,
reactions=reactions,
strip_comments=False)
model.reactions[r_id].objective = coef
else:
warnings.warn("Could not find '-OBJECTIVE' section",
BiooptParseWarning)
return model