Esempio n. 1
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    def test_modeh_replacement(self):
        # prepare the cost model
        g1 = mnm_repr.Gene('g1')
        p1 = mnm_repr.Protein('p1')
        met1 = mnm_repr.Metabolite('met1')
        met2 = mnm_repr.Metabolite('met2')
        cplx1 = mnm_repr.Complex('cplx1')
        cytosol = mnm_repr.Cytosol()

        cond1 = mnm_repr.PresentEntity(met1, cytosol)
        cond2 = mnm_repr.PresentEntity(met2, cytosol)
        cond3 = mnm_repr.PresentEntity(p1, cytosol)
        cond4 = mnm_repr.PresentEntity(cplx1, cytosol)

        growth = mnm_repr.Growth('growth', [cond2])
        r1 = mnm_repr.Reaction('r1', [cond1], [cond2])
        r2 = mnm_repr.Reaction('r2', [cond3], [cond4])

        entities = [g1, p1, met1, met2, cplx1]
        compartments = [cytosol]
        activities = [growth, r1, r2]
        setup_conds = [cond1, cond3]
        model = CostModel(entities, compartments, activities, setup_conds)
        model.set_all_basic_costs_to_1()
        model.calculate_derived_costs(activities)
        # test
        out = exporter.modeh_replacement(model)
        self.assertIsInstance(out, str)
Esempio n. 2
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 def setUp(self):
     self.con1 = mnm_repr.PresentEntity('ent1', 'comp1')
     self.con2 = mnm_repr.PresentEntity('ent2', 'comp2')
     self.con3 = mnm_repr.PresentEntity('ent3', 'comp3')
     self.con4 = mnm_repr.PresentEntity('ent4', 'comp4')
     self.act1 = mnm_repr.Activity('ID1', 'name1', [self.con1], [])
     self.act2 = mnm_repr.Activity('ID2', 'name2', [self.con2], [])
Esempio n. 3
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 def test_export_activity(self):
     # one substrate, one catalyst, one transporter; one product
     cond_subst = mnm_repr.PresentEntity(mnm_repr.Metabolite('met1'),
                                         mnm_repr.Medium())
     cond_cat = mnm_repr.PresentCatalyst(mnm_repr.Medium())
     cond_trp = mnm_repr.PresentTransporter(mnm_repr.Medium())
     prod = mnm_repr.PresentEntity(mnm_repr.Metabolite('met2'),
                                   mnm_repr.Medium())
     act = mnm_repr.Activity('a1', 'none', [cond_subst, cond_cat, cond_trp],
                             [prod])
     act.reversibility = True
     exported = exporter.export_activity(act)
     # forward
     self.assertIn('\nsubstrate(met1,none,c_01,a1).', exported)
     self.assertIn('\nenz_required(a1).', exported)
     self.assertIn('\nenz_compartment(c_01,a1).', exported)
     self.assertIn('\ntransp_required(a1).', exported)
     self.assertIn('\ntransp_compartment(c_01,a1).', exported)
     self.assertIn('\nproduct(met2,none,c_01,a1).', exported)
     # reversed
     self.assertIn('\nproduct(met1,none,c_01,a1_rev).', exported)
     self.assertIn('\nenz_required(a1_rev).', exported)
     self.assertIn('\nenz_compartment(c_01,a1_rev).', exported)
     self.assertIn('\ntransp_required(a1_rev).', exported)
     self.assertIn('\ntransp_compartment(c_01,a1_rev).', exported)
     self.assertIn('\nsubstrate(met2,none,c_01,a1_rev).', exported)
Esempio n. 4
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    def test_cost_rules(self):
        # prepare the cost model
        g1 = mnm_repr.Gene('g1')
        p1 = mnm_repr.Protein('p1')
        met1 = mnm_repr.Metabolite('met1')
        met2 = mnm_repr.Metabolite('met2')
        cplx1 = mnm_repr.Complex('cplx1')
        cytosol = mnm_repr.Cytosol()

        cond1 = mnm_repr.PresentEntity(met1, cytosol)
        cond2 = mnm_repr.PresentEntity(met2, cytosol)
        cond3 = mnm_repr.PresentEntity(p1, cytosol)
        cond4 = mnm_repr.PresentEntity(cplx1, cytosol)

        growth = mnm_repr.Growth('growth', [cond2])
        r1 = mnm_repr.Reaction('r1', [cond1], [cond2])
        r2 = mnm_repr.Reaction('r2', [cond3], [cond4])

        entities = [g1, p1, met1, met2, cplx1]
        compartments = [cytosol]
        activities = [growth, r1, r2]
        setup_conds = [cond1, cond3]
        model = CostModel(entities, compartments, activities, setup_conds)
        model.set_all_basic_costs_to_1()
        model.calculate_derived_costs(activities)
        # test
        out = exporter.cost_rules(model)
        #		self.assertIn('\ncost(1, 0) :- add(setup_present(met1, none, c_01)).', out)
        self.assertEqual(len(out), 55)
Esempio n. 5
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    def test_export_experiment_specification_elements(self):
        # prepare the cost model
        g1 = mnm_repr.Gene('g1')
        p1 = mnm_repr.Protein('p1')
        met1 = mnm_repr.Metabolite('met1')
        met2 = mnm_repr.Metabolite('met2')
        cplx1 = mnm_repr.Complex('cplx1')
        cytosol = mnm_repr.Cytosol()

        cond1 = mnm_repr.PresentEntity(met1, cytosol)
        cond2 = mnm_repr.PresentEntity(met2, cytosol)
        cond3 = mnm_repr.PresentEntity(p1, cytosol)
        cond4 = mnm_repr.PresentEntity(cplx1, cytosol)

        growth = mnm_repr.Growth('growth', [cond2])
        r1 = mnm_repr.Reaction('r1', [cond1], [cond2])
        r2 = mnm_repr.Reaction('r2', [cond3], [cond4])

        entities = [g1, p1, met1, met2, cplx1]
        compartments = [cytosol]
        activities = [growth, r1, r2]
        setup_conds = [cond1, cond3]
        model = CostModel(entities, compartments, activities, setup_conds)
        model.set_all_basic_costs_to_1()
        model.calculate_derived_costs(activities)
        # test
        out = exporter.export_experiment_specification_elements(model)
        self.assertEqual(len(out.keys()), 55)
        self.assertNotIn(None, out.values())
Esempio n. 6
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    def test_RevCIAddB_revise_ignoring(self):
        met1 = mnm_repr.Metabolite('met1')
        met2 = mnm_repr.Metabolite('met2')
        comp1 = mnm_repr.Medium()
        cond_subst_1 = mnm_repr.PresentEntity(met1, comp1)
        cond_subst_2 = mnm_repr.PresentEntity(met2, comp1)
        a1 = mnm_repr.Reaction('act1', [], [cond_subst_1, cond_subst_2])
        a1.remove_cost = None
        a1.reversibility = False
        a2 = mnm_repr.Reaction('act1', [], [cond_subst_1])
        a2.reversibility = False
        # model to be revised
        mod = mnm_repr.Model('m_0', [], [a1], [])
        # results
        des1 = exp_repr.ExperimentDescription(exp_repr.DetectionEntity('met1'),
                                              [])
        des2 = exp_repr.ExperimentDescription(exp_repr.DetectionEntity('met2'),
                                              [])
        res1 = exp_repr.Result('res_0', des1, 'false')
        res2 = exp_repr.Result('res_1', des2, 'true')
        exp1 = exp_repr.Experiment('exp_0', [res1])
        exp2 = exp_repr.Experiment('exp_1', [res2])
        # archive with results and parts for revision
        arch = Archive()
        arch.known_results = [exp1, exp2]
        arch.mnm_activities = [a1, a2]
        arch.mnm_entities = [met1, met2]
        arch.mnm_compartments = [comp1]

        rev = RevCIAddB(arch)
        out = rev.revise(mod)
        self.assertEqual(out[0], [])
        self.assertEqual(out[1], True)
Esempio n. 7
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    def test_make_derivative_models(self):
        rev = RevisionModule('archive')
        cond_subst_1 = mnm_repr.PresentEntity(mnm_repr.Metabolite('met1'),
                                              mnm_repr.Medium())
        cond_subst_2 = mnm_repr.PresentEntity(mnm_repr.Metabolite('met2'),
                                              mnm_repr.Medium())
        base_model = mnm_repr.Model(
            'm1', [cond_subst_1], [],
            [])  #model that is compatible with interventions
        second_mod = mnm_repr.Model('deriv_m1_0', [cond_subst_1, cond_subst_2],
                                    [], [])
        third_mod = mnm_repr.Model('deriv_m1_1', [], [], [])

        exd1 = exp_repr.ExperimentDescription(None,
                                              [mnm_repr.Add(cond_subst_2)])
        exd2 = exp_repr.ExperimentDescription(None,
                                              [mnm_repr.Remove(cond_subst_1)])
        res1 = exp_repr.Result('r1', exd1, True)
        res2 = exp_repr.Result('r2', exd2, True)
        extracted_results = [res1, res2]  #need interventions in description

        models_results = rev.make_derivative_models(base_model,
                                                    extracted_results)
        self.assertEqual(models_results, {
            base_model: [],
            second_mod: [res1],
            third_mod: [res2]
        })
Esempio n. 8
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 def test_export_termination_conds_consistency(self):
     # one cond
     cond_subst_1 = mnm_repr.PresentEntity(mnm_repr.Metabolite('met1'),
                                           mnm_repr.Medium())
     cond_subst_2 = mnm_repr.PresentEntity(mnm_repr.Metabolite('met2'),
                                           mnm_repr.Medium())
     m = mnm_repr.Model('m1', [], [], [cond_subst_1, cond_subst_2])
     exported = exporter.export_termination_conds_consistency(m)
     self.assertIn('\n:- not synthesizable(met1, none, c_01, m1).',
                   exported)
     self.assertIn('\n:- not synthesizable(met2, none, c_01, m1).',
                   exported)
Esempio n. 9
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 def test_ban_experiment(self):
     comp = mnm_repr.Medium()
     ent1 = mnm_repr.Metabolite('m1')
     cond1 = mnm_repr.PresentEntity(ent1, comp)
     inter1 = mnm_repr.Add(cond1)
     ent2 = mnm_repr.Metabolite('m2')
     cond2 = mnm_repr.PresentEntity(ent2, comp)
     inter2 = mnm_repr.Remove(cond2)
     exp_description = exp_repr.ExperimentDescription(
         exp_repr.DetectionEntity('ent1'), [inter1, inter2])
     out = exporter.ban_experiment(exp_description)
     #		print([out])
     self.assertIn('\n:- designed(experiment(detection_entity_exp, ent1))',
                   out)
     self.assertIn(',remove(setup_present(m2, none, c_01))', out)
     self.assertIn(',add(setup_present(m1, none, c_01))', out)
Esempio n. 10
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 def test_export_model_specification(self):
     # 2 conds + 2 activ
     cond_subst_1 = mnm_repr.PresentEntity(mnm_repr.Metabolite('met1'),
                                           mnm_repr.Medium())
     cond_subst_2 = mnm_repr.PresentEntity(mnm_repr.Metabolite('met2'),
                                           mnm_repr.Medium())
     act_1 = mnm_repr.Activity('a1', None, ['1'], [])
     act_2 = mnm_repr.Activity('a2', None, ['2'], [])
     m = mnm_repr.Model('m1', [cond_subst_1, cond_subst_2], [act_1, act_2],
                        [])
     exported = exporter.export_model_specification(m)
     self.assertIn('\nadded_to_model(setup_present(met1,none,c_01),m1).',
                   exported)
     self.assertIn('\nadded_to_model(setup_present(met2,none,c_01),m1).',
                   exported)
     self.assertIn('\nadded_to_model(a1,m1).', exported)
     self.assertIn('\nadded_to_model(a2,m1).', exported)
Esempio n. 11
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    def test_check_consistency_negative(self):
        met1 = mnm_repr.Metabolite('met1')
        met2 = mnm_repr.Metabolite('met2')
        comp1 = mnm_repr.Medium()
        cond_subst_1 = mnm_repr.PresentEntity(met1, comp1)
        cond_subst_2 = mnm_repr.PresentEntity(met2, comp1)
        base_model = mnm_repr.Model('m1', [cond_subst_1, cond_subst_2], [], [])
        exd = exp_repr.ExperimentDescription(exp_repr.DetectionEntity('met1'),
                                             [])
        res = exp_repr.Result('r1', exd, 'false')
        exp = exp_repr.Experiment('exp1', [res])

        arch = Archive()
        arch.mnm_entities = [met1, met2]
        arch.mnm_compartments = [comp1]
        ev1 = AdditionalModels([base_model])
        ev2 = AcceptedResults(exp)
        arch.record(ev1)
        arch.record(ev2)

        rev = RevisionModule(arch)
        out = rev.check_consistency(base_model)
        self.assertEqual(False, out)
Esempio n. 12
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 def generate_all_possible(self, entities, compartments, activities,
                           setup_conds, import_activities):
     # exp types:
     self.types = {
         DetectionEntity: None,
         AdamTwoFactorExperiment: None,
         ReconstructionActivity: None,
         ReconstructionEnzReaction: None,
         ReconstructionTransporterRequired: None,
         LocalisationEntity: None,
         DetectionActivity: None
     }
     # compartments for checking localisation:
     self.design_compartment = {
         'c_02': None,
         'c_03': None,
         'c_04': None,
         'c_05': None,
         'c_06': None,
         'c_07': None,
         'c_08': None,
         'c_09': None,
         'c_10': None,
         'c_11': None,
         'c_12': None,
         'c_13': None,
         'c_14': None,
         'c_15': None,
         'c_16': None,
         'c_17': None,
         'c_18': None,
         'c_19': None,
         'c_20': None,
         'c_21': None,
         'c_22': None,
         'c_23': None,
         'c_24': None,
         'c_25': None,
         'c_26': None,
         'c_27': None,
         'c_28': None,
         'c_29': None,
         'c_30': None,
         'c_31': None,
         'c_32': None,
         'c_33': None,
         'c_34': None
     }
     # rest of elements:
     self.design_deletable = {}
     self.design_available = {}
     self.design_activity_rec = {}
     self.design_activity_det = {}
     self.design_entity_loc = {}
     self.design_entity_det = {}
     self.intervention_add = {}
     self.intervention_remove = {}
     #
     for act in import_activities:
         self.intervention_add[mnm_repr.Add(act)] = 1
     #
     for st in setup_conds:
         # all genes can be removed; metabs can only be removed from medium
         if (isinstance(st.entity, mnm_repr.Gene)
                 or isinstance(st.compartment, Medium)):
             self.intervention_remove[mnm_repr.Remove(st)] = None
         if isinstance(st.entity, mnm_repr.Gene):
             self.design_deletable[st.entity] = None
     #
     for ent in entities:
         if isinstance(ent, mnm_repr.Gene):
             continue
         else:  # Met, Prot, Cplx
             self.design_available[ent] = None
             self.design_entity_det[ent] = None
         if isinstance(ent, mnm_repr.Metabolite):
             self.intervention_add[mnm_repr.Add(
                 mnm_repr.PresentEntity(ent, Medium()))] = None
         else:  # Prot, Cplx
             self.design_entity_loc[ent] = None
     #
     for act in activities:
         # don't test these additional import reactions: they're only to help with experiments
         if act in import_activities:
             continue
         elif isinstance(act, mnm_repr.Growth):
             self.design_activity_det[act] = None
         else:
             self.design_activity_rec[act] = None