def __init__(self, id, name='', functional=True, root_dir=None, pdb_file_type='mmtf'):
Gene.__init__(self, id=id, name=name, functional=functional)
self.pdb_file_type = pdb_file_type
# Create directories
self._root_dir = None
if root_dir:
self.root_dir = root_dir
self.protein = Protein(ident=id, root_dir=self.gene_dir, pdb_file_type=self.pdb_file_type)
def create_consisten_model(model,metamodel,consistent_reactions):
consistent_model = Model()
consistent_model.id = model.id
consistent_model.description = model.id
auxiliar_gene = Gene('MODULAR_GAPFILLING')
auxiliar_gene._model = consistent_model
consistent_model.genes.append(auxiliar_gene)
for reaction_id in consistent_reactions:
new_reaction = metamodel.reactions.get_by_id(reaction_id).copy()
if reaction_id in model.reactions:
reaction_reference = model.reactions.get_by_id(reaction_id)
gene_list = []
for gene in reaction_reference.genes:
if gene.id in consistent_model.genes:
gene_list.append(consistent_model.genes.get_by_id(gene.id))
else:
new_gene = Gene(gene.id)
new_gene._model = consistent_model
consistent_model.genes.append(new_gene)
gene_list.append(new_gene)
for gene in gene_list:
gene._reaction.add(new_reaction)
new_reaction._genes = gene_list
new_reaction.gene_reaction_rule = reaction_reference.gene_reaction_rule
else:
new_reaction.gene_reaction_rule = auxiliar_gene.name
auxiliar_gene._reaction.add(new_reaction)
consistent_model.add_reaction(new_reaction)
return consistent_model
def rename_genes(cobra_model, rename_dict):
"""renames genes in a model from the rename_dict"""
recompute_reactions = set() # need to recomptue related genes
remove_genes = []
for old_name, new_name in iteritems(rename_dict):
# undefined if there a value matches a different key
# because dict is unordered
try:
gene_index = cobra_model.genes.index(old_name)
except ValueError:
gene_index = None
old_gene_present = gene_index is not None
new_gene_present = new_name in cobra_model.genes
if old_gene_present and new_gene_present:
old_gene = cobra_model.genes.get_by_id(old_name)
remove_genes.append(old_gene)
recompute_reactions.update(old_gene._reaction)
elif old_gene_present and not new_gene_present:
# rename old gene to new gene
gene = cobra_model.genes[gene_index]
# trick DictList into updating index
cobra_model.genes._dict.pop(gene.id) # ugh
gene.id = new_name
cobra_model.genes[gene_index] = gene
elif not old_gene_present and new_gene_present:
pass
else: # not old gene_present and not new_gene_present
# the new gene's _model will be set by repair
cobra_model.genes.append(Gene(new_name))
cobra_model.repair()
class Renamer(NodeTransformer):
def visit_Name(self, node):
node.id = rename_dict.get(node.id, node.id)
return node
gene_renamer = Renamer()
for rxn, rule in iteritems(get_compiled_gene_reaction_rules(cobra_model)):
if rule is not None:
rxn._gene_reaction_rule = ast2str(gene_renamer.visit(rule))
for rxn in recompute_reactions:
rxn.gene_reaction_rule = rxn._gene_reaction_rule
for i in remove_genes:
cobra_model.genes.remove(i)
def create_consisten_model(model, metamodel, consistent_reactions):
consistent_model = Model()
consistent_model.id = model.id
consistent_model.description = model.id
auxiliar_gene = Gene('MODULAR_GAPFILLING')
auxiliar_gene._model = consistent_model
consistent_model.genes.append(auxiliar_gene)
for reaction_id in consistent_reactions:
new_reaction = metamodel.reactions.get_by_id(reaction_id).copy()
if reaction_id in model.reactions:
reaction_reference = model.reactions.get_by_id(reaction_id)
gene_list = []
for gene in reaction_reference.genes:
if gene.id in consistent_model.genes:
gene_list.append(consistent_model.genes.get_by_id(gene.id))
else:
new_gene = Gene(gene.id)
new_gene._model = consistent_model
consistent_model.genes.append(new_gene)
gene_list.append(new_gene)
for gene in gene_list:
gene._reaction.add(new_reaction)
new_reaction._genes = gene_list
new_reaction.gene_reaction_rule = reaction_reference.gene_reaction_rule
else:
new_reaction.gene_reaction_rule = auxiliar_gene.name
auxiliar_gene._reaction.add(new_reaction)
consistent_model.add_reaction(new_reaction)
return consistent_model
def convert_kmodel(kmodel, media=None, exchanges=True, model_id="kbase"):
model_test = cobra.Model(model_id)
comps = {}
mets = {}
sink = set()
reactions = []
extra = set()
for mcomp in kmodel['modelcompartments']:
mcomp_id = mcomp['id']
name = mcomp['label']
comps[mcomp_id] = name
for mc in kmodel["modelcompounds"]:
#print(mc.keys())
formula = None
if not mc['formula'] == 'null':
formula = mc['formula']
name = mc['name']
charge = get_int('charge', 0, mc)
mc_id = mc['id']
annotation = {}
if 'dblinks' in mc:
annotation = get_cpd_annotation(mc['dblinks'])
compartment = get_compartment_id(mc, simple=True)
id = build_cpd_id(mc_id)
if bigg:
if "bigg.metabolite" in annotation:
id = annotation["bigg.metabolite"] + "_" + compartment
#print(id)
if mc_id in SINK:
logger.info('Add Sink: [%s]', mc_id)
extra.add(mc_id)
sink.add(mc_id)
if compartment.startswith("e"):
extra.add(mc_id)
met = Metabolite(id=id,
formula=formula,
name=name,
charge=charge,
compartment=compartment)
met.annotation[
SBO_ANNOTATION] = "SBO:0000247" #simple chemical - Simple, non-repetitive chemical entity.
if id.startswith('cpd'):
met.annotation["seed.compound"] = id.split("_")[0]
#met.annotation[""] = "!!!"
met.annotation.update(annotation)
mets[mc_id] = met
genes = set()
#print(mc)
for mr in kmodel["modelreactions"]:
mr_id = mr['id']
name = mr['name']
lower_bound, upper_bound = get_reaction_constraints(mr)
annotation = {}
if 'dblinks' in mr:
annotation = get_rxn_annotation(mr['dblinks'])
id = build_rxn_id(mr_id)
if bigg:
if "bigg.reaction" in annotation:
id = annotation["bigg.reaction"]
#print(id)
reaction = Reaction(id=id,
name=name,
lower_bound=lower_bound,
upper_bound=upper_bound)
#print(mr['maxrevflux'], mr['maxforflux'], reaction.lower_bound)
reaction.annotation[SBO_ANNOTATION] = "!!!"
if id.startswith('rxn'):
reaction.annotation["seed.reaction"] = id.split("_")[0]
reaction.annotation.update(annotation)
object_stoichiometry = {}
for mrr in mr['modelReactionReagents']:
modelcompound_ref = mrr['modelcompound_ref']
coefficient = mrr['coefficient']
mc_id = get_id_from_ref(modelcompound_ref)
met_id = build_cpd_id(mc_id)
met = mets[mc_id] #model_test.metabolites.get_by_id(met_id)
#print(met, met_id, coefficient)
object_stoichiometry[met] = coefficient
reaction.annotation[
SBO_ANNOTATION] = "SBO:0000176" #biochemical reaction
reaction.add_metabolites(object_stoichiometry)
gpr = get_gpr(mr)
gpr_string = get_gpr_string(gpr)
#print(gpr_string)
reaction.gene_reaction_rule = gpr_string
genes |= get_genes(gpr)
#print(reaction)
reactions.append(reaction)
#print(mr.keys())
objective_id = None
for biomass in kmodel['biomasses']:
reaction = convert_biomass_to_reaction(biomass, mets)
reactions.append(reaction)
objective_id = reaction.id
#print(biomass)
#print(media)
if exchanges:
logger.info('Setup Drains. EX: %d SK: %d', len(extra), len(sink))
for e in extra:
met = mets[e]
prefix = "EX_"
if e in sink:
prefix = "DM_"
id = prefix + met.id
lower_bound = COBRA_DEFAULT_LB
upper_bound = COBRA_DEFAULT_UB
if not media == None:
lower_bound = 0
if not media == None and e.split("_")[0] in media:
ct = media[e.split("_")[0]]
lower_bound = ct[0]
upper_bound = ct[1]
#print(e, met, id, lower_bound, upper_bound)
object_stoichiometry = {met: -1}
reaction = Reaction(id=id,
name="Exchange for " + met.name,
lower_bound=lower_bound,
upper_bound=upper_bound)
reaction.add_metabolites(object_stoichiometry)
reaction.annotation[
SBO_ANNOTATION] = "SBO:0000627" #exchange reaction - ... provide matter influx or efflux to a model, for example to replenish a metabolic network with raw materials ...
reactions.append(reaction)
#print(reaction.name)
#print("Genes:", genes)
for g in genes:
gene = Gene(id=build_gene_id(g), name=g)
gene.annotation[SBO_ANNOTATION] = "SBO:0000243"
model_test.genes.append(gene)
model_test.compartments = comps
#model_test.add_metabolites(mets.values)
try:
model_test.add_reactions(reactions)
except ValueError as e:
warn(str(e))
if not objective_id == None:
model_test.objective = model_test.reactions.get_by_id(id=objective_id)
linear_reaction_coefficients(model_test)
return model_test
def __json_decode__(self, **attrs):
Gene.__init__(self, id=attrs['id'])
for k, v in attrs.items():
if k not in ['id']:
setattr(self, k, v)
def parse_xml_into_model(xml, number=float):
xml_model = xml.find(ns("sbml:model"))
if get_attrib(xml_model, "fbc:strict") != "true":
warn('loading SBML model without fbc:strict="true"')
model_id = get_attrib(xml_model, "id")
model = Model(model_id)
model.name = xml_model.get("name")
model.compartments = {c.get("id"): c.get("name") for c in
xml_model.findall(COMPARTMENT_XPATH)}
# add metabolites
for species in xml_model.findall(SPECIES_XPATH % 'false'):
met = get_attrib(species, "id", require=True)
met = Metabolite(clip(met, "M_"))
met.name = species.get("name")
annotate_cobra_from_sbml(met, species)
met.compartment = species.get("compartment")
met.charge = get_attrib(species, "fbc:charge", int)
met.formula = get_attrib(species, "fbc:chemicalFormula")
model.add_metabolites([met])
# Detect boundary metabolites - In case they have been mistakenly
# added. They should not actually appear in a model
boundary_metabolites = {clip(i.get("id"), "M_")
for i in xml_model.findall(SPECIES_XPATH % 'true')}
# add genes
for sbml_gene in xml_model.iterfind(GENES_XPATH):
gene_id = get_attrib(sbml_gene, "fbc:id").replace(SBML_DOT, ".")
gene = Gene(clip(gene_id, "G_"))
gene.name = get_attrib(sbml_gene, "fbc:name")
if gene.name is None:
gene.name = get_attrib(sbml_gene, "fbc:label")
annotate_cobra_from_sbml(gene, sbml_gene)
model.genes.append(gene)
def process_gpr(sub_xml):
"""recursively convert gpr xml to a gpr string"""
if sub_xml.tag == OR_TAG:
return "( " + ' or '.join(process_gpr(i) for i in sub_xml) + " )"
elif sub_xml.tag == AND_TAG:
return "( " + ' and '.join(process_gpr(i) for i in sub_xml) + " )"
elif sub_xml.tag == GENEREF_TAG:
gene_id = get_attrib(sub_xml, "fbc:geneProduct", require=True)
return clip(gene_id, "G_")
else:
raise Exception("unsupported tag " + sub_xml.tag)
bounds = {bound.get("id"): get_attrib(bound, "value", type=number)
for bound in xml_model.iterfind(BOUND_XPATH)}
# add reactions
reactions = []
for sbml_reaction in xml_model.iterfind(
ns("sbml:listOfReactions/sbml:reaction")):
reaction = get_attrib(sbml_reaction, "id", require=True)
reaction = Reaction(clip(reaction, "R_"))
reaction.name = sbml_reaction.get("name")
annotate_cobra_from_sbml(reaction, sbml_reaction)
lb_id = get_attrib(sbml_reaction, "fbc:lowerFluxBound", require=True)
ub_id = get_attrib(sbml_reaction, "fbc:upperFluxBound", require=True)
try:
reaction.upper_bound = bounds[ub_id]
reaction.lower_bound = bounds[lb_id]
except KeyError as e:
raise CobraSBMLError("No constant bound with id '%s'" % str(e))
reactions.append(reaction)
stoichiometry = defaultdict(lambda: 0)
for species_reference in sbml_reaction.findall(
ns("sbml:listOfReactants/sbml:speciesReference")):
met_name = clip(species_reference.get("species"), "M_")
stoichiometry[met_name] -= \
number(species_reference.get("stoichiometry"))
for species_reference in sbml_reaction.findall(
ns("sbml:listOfProducts/sbml:speciesReference")):
met_name = clip(species_reference.get("species"), "M_")
stoichiometry[met_name] += \
get_attrib(species_reference, "stoichiometry",
type=number, require=True)
# needs to have keys of metabolite objects, not ids
object_stoichiometry = {}
for met_id in stoichiometry:
if met_id in boundary_metabolites:
warn("Boundary metabolite '%s' used in reaction '%s'" %
(met_id, reaction.id))
continue
try:
metabolite = model.metabolites.get_by_id(met_id)
except KeyError:
warn("ignoring unknown metabolite '%s' in reaction %s" %
(met_id, reaction.id))
continue
object_stoichiometry[metabolite] = stoichiometry[met_id]
reaction.add_metabolites(object_stoichiometry)
# set gene reaction rule
gpr_xml = sbml_reaction.find(GPR_TAG)
if gpr_xml is not None and len(gpr_xml) != 1:
warn("ignoring invalid geneAssociation for " + repr(reaction))
gpr_xml = None
gpr = process_gpr(gpr_xml[0]) if gpr_xml is not None else ''
# remove outside parenthesis, if any
if gpr.startswith("(") and gpr.endswith(")"):
gpr = gpr[1:-1].strip()
gpr = gpr.replace(SBML_DOT, ".")
reaction.gene_reaction_rule = gpr
try:
model.add_reactions(reactions)
except ValueError as e:
warn(str(e))
# objective coefficients are handled after all reactions are added
obj_list = xml_model.find(ns("fbc:listOfObjectives"))
if obj_list is None:
warn("listOfObjectives element not found")
return model
target_objective_id = get_attrib(obj_list, "fbc:activeObjective")
target_objective = obj_list.find(
ns("fbc:objective[@fbc:id='{}']".format(target_objective_id)))
obj_direction_long = get_attrib(target_objective, "fbc:type")
obj_direction = LONG_SHORT_DIRECTION[obj_direction_long]
obj_query = OBJECTIVES_XPATH % target_objective_id
coefficients = {}
for sbml_objective in obj_list.findall(obj_query):
rxn_id = clip(get_attrib(sbml_objective, "fbc:reaction"), "R_")
try:
objective_reaction = model.reactions.get_by_id(rxn_id)
except KeyError:
raise CobraSBMLError("Objective reaction '%s' not found" % rxn_id)
try:
coefficients[objective_reaction] = get_attrib(
sbml_objective, "fbc:coefficient", type=number)
except ValueError as e:
warn(str(e))
set_objective(model, coefficients)
model.solver.objective.direction = obj_direction
return model
def gene_from_dict(gene):
new_gene = Gene(gene["id"])
for k, v in iteritems(gene):
setattr(new_gene, k, v)
return new_gene
def build(self, model_id = None):
if model_id is None:
model_id = self.fbamodel.id
self.metabolites = {}
self.reactions = {}
self.biomass_reactions = set()
self.sink_compounds = set()
self.demand_compounds = set()
self.exchange_compounds = set()
for modelcompound in self.fbamodel.metabolites:
cobra_metabolite = self.convert_modelcompound(modelcompound)
if cobra_metabolite.id not in self.metabolites:
self.metabolites[cobra_metabolite.id] = cobra_metabolite
self.metabolites_remap[modelcompound.id] = cobra_metabolite.id
else:
logger.warning('duplicate compound: %s', cobra_metabolite.id)
if cobra_metabolite.id in self.auto_sink:
logger.info('Add Sink: [%s]', cobra_metabolite.id)
self.demand_compounds.add(cobra_metabolite.id)
if cobra_metabolite.compartment == self.auto_exchange:
logger.debug('Add Exchange: [%s]', cobra_metabolite.id)
self.exchange_compounds.add(cobra_metabolite.id)
for modelreaction in self.fbamodel.reactions:
cobra_reaction = self.convert_modelreaction(modelreaction)
self.add_reaction(cobra_reaction)
for biomass in self.fbamodel.data['biomasses']:
cobra_reaction = self.convert_biomass_to_reaction(biomass)
if not self.add_reaction(cobra_reaction) == None:
self.biomass_reactions.add(cobra_reaction.id)
for cpd_id in self.exchange_compounds:
lower_bound = self.COBRA_DEFAULT_LB if len(self.media_const) == 0 else self.COBRA_0_BOUND
upper_bound = self.COBRA_DEFAULT_UB
if cpd_id in self.media_const:
lower_bound, upper_bound = self.media_const[cpd_id]
drain_reaction = self.build_drain_from_metabolite_id(cpd_id, lower_bound, upper_bound)
self.add_reaction(drain_reaction)
logger.debug('created exchange for [%s]: %s', cpd_id, drain_reaction)
for cpd_id in self.demand_compounds:
drain_reaction = self.build_drain_from_metabolite_id(cpd_id, self.COBRA_0_BOUND, self.COBRA_DEFAULT_UB,
"DM_", "Demand for ")
self.add_reaction(drain_reaction)
logger.debug('created demand for [%s]: %s', cpd_id, drain_reaction)
for cpd_id in self.sink_compounds:
drain_reaction = self.build_drain_from_metabolite_id(cpd_id, self.COBRA_0_BOUND, self.COBRA_DEFAULT_UB,
"SK_", "Sink for ")
self.add_reaction(drain_reaction)
logger.debug('created sink for [%s]: %s', cpd_id, drain_reaction)
#print(self.genes)
cobra_model = Model(model_id)
for g in self.genes:
gene = Gene(id=build_gene_id(g), name=g)
gene.annotation[self.SBO_ANNOTATION] = "SBO:0000243"
if g in self.gene_annotation:
gene.annotation.update(self.gene_annotation[g])
cobra_model.genes.append(gene)
cobra_model.add_metabolites(list(self.metabolites.values()))
cobra_model.add_reactions(list(self.reactions.values()))
if len(self.biomass_reactions) > 0:
default_biomass = list(self.biomass_reactions)[0]
logger.info('Default biomass: [%s]', default_biomass)
cobra_model.objective = default_biomass
linear_reaction_coefficients(cobra_model)
return cobra_model
