#qi1

FIX: species_1 species_2 species_4 species_79

#reactions
re112:
 {1.0}species_82 + {1.0}species_11 = {1.0}s118
  compartment_1 * (parameter_221 * species_82 * species_11 - parameter_222 * s118)
re113:
 {1.0}s118 = {1.0}species_12 + {1.0}species_82
  compartment_1 * parameter_223 * s118
re114:
 {1.0}species_12 + {1.0}species_82 = {1.0}s119
  compartment_1 * (parameter_224 * species_12 * species_82 - parameter_225 * s119)
re115:
 {1.0}species_12 + {1.0}species_85 = {1.0}s120
  compartment_1 * (parameter_233 * species_12 * species_85 - parameter_234 * s120)
re116:
 $pool = {1.0}species_30
  c3 * function_4_reaction_n7_1(parameter_231, parameter_232, species_92)
re117:
 {1.0}s120 = {1.0}s122
  compartment_1 * parameter_237 * s120
re121:
 {1.0}species_26 + {1.0}species_95 = {1.0}s122
  parameter_235 * species_26 * species_95 - parameter_236 * s122
re126:
 {1.0}s122 + {1.0}species_24 = {1.0}s126
  parameter_240 * s122 * species_24 - parameter_241 * s126
re135:
 {1.0}species_5 + {1.0}species_107 = {1.0}species_78
  compartment_1 * (parameter_129 * species_5 * species_107 - parameter_130 * species_78)
re136:
 {1.0}species_48 = {1.0}species_108
  compartment_1 * function_3(species_48, parameter_86, parameter_85)
re137:
 {1.0}species_16 = {1.0}species_8 + {1.0}species_108
  compartment_1 * parameter_31 * species_16
re138:
 {1.0}species_9 + {1.0}species_108 = {1.0}species_16
  compartment_1 * (parameter_29 * species_9 * species_108 - parameter_30 * species_16)
re140:
 {1.0}species_85 + {1.0}species_20 = {1.0}species_90
  compartment_1 * (parameter_146 * species_85 * species_20 - parameter_147 * species_90)
re141:
 {1.0}species_90 = {1.0}species_84 + {1.0}species_20
  compartment_1 * parameter_148 * species_90
re142:
 {1.0}species_87 + {1.0}species_20 = {1.0}species_101
  compartment_1 * (parameter_164 * species_87 * species_20 - parameter_165 * species_101)
re143:
 {1.0}species_101 = {1.0}species_91 + {1.0}species_20
  compartment_1 * parameter_166 * species_101
re144:
 {1.0}species_95 + {1.0}species_24 = {1.0}species_94
  function_4(c2, parameter_152, parameter_153, species_24, species_94, species_95)
re145:
 {1.0}species_94 = {1.0}species_96 + {1.0}species_24
  function_5(c2, parameter_155, species_94)
re147:
 {1.0}species_92 + {1.0}species_24 = {1.0}species_102
  function_8(c2, parameter_169, parameter_170, species_102, species_24, species_92)
re148:
 {1.0}species_102 = {1.0}species_103 + {1.0}species_24
  function_9(c2, parameter_171, species_102)
re153:
 {1.0}species_20 + {1.0}s120 = {1.0}s135
  compartment_1 * (parameter_238 * species_20 * s120 - parameter_239 * s135)
re157:
 {1.0}species_9 + {1.0}species_84 = {1.0}s138
  compartment_1 * (parameter_226 * species_9 * species_84 - parameter_227 * s138)
re158:
 {1.0}s138 = {1.0}species_9 + {1.0}species_85
  compartment_1 * parameter_228 * s138
re159:
 {1.0}species_85 + {1.0}species_9 = {1.0}s139
  compartment_1 * (parameter_229 * species_85 * species_9 - parameter_230 * s139)
re160:
 {1.0}s140 + {1.0}species_4 = {1.0}species_6
  compartment_1 * (parameter_3 * s140 * species_4 - parameter_4 * species_6)
re161:
 {1.0}s135 = {1.0}species_20 + {1.0}species_12 + {1.0}species_84
  compartment_1 * parameter_242 * s135
re162:
 {1.0}s135 = {1.0}species_85 + {1.0}species_11 + {1.0}species_20
  compartment_1 * parameter_243 * s135
re163:
 {1.0}s126 = {1.0}species_26 + {1.0}species_24 + {1.0}species_96
  parameter_244 * s126
re164:
 {1.0}s126 = {1.0}species_95 + {1.0}species_28 + {1.0}species_24
  parameter_245 * s126
reaction_1:
 {1.0}species_2 + {1.0}species_1 = {1.0}species_3
  parameter_1 * species_2 * species_1 - parameter_2 * species_3
reaction_10:
 {1.0}species_83 + {1.0}species_11 = {1.0}species_68
  compartment_1 * (parameter_9 * species_83 * species_11 - parameter_10 * species_68)
reaction_100:
 {1.0}species_99 = $pool
  compartment_1 * parameter_163 * species_99
reaction_103:
 {2.0}species_95 = {1.0}species_92
  c2 * (parameter_167 * pow(species_95, 2) - parameter_168 * species_92)
reaction_106:
 {1.0}species_96 + {1.0}species_95 = {1.0}species_103
  c2 * (parameter_172 * species_96 * species_95 - parameter_173 * species_103)
reaction_107:
 {1.0}species_84 + {1.0}species_100 = {1.0}species_104
  compartment_1 * (parameter_174 * species_84 * species_100 - parameter_175 * species_104)
reaction_108:
 {1.0}species_105 = {1.0}species_99 + {1.0}species_81 + {1.0}species_84 + {1.0}species_108
  compartment_1 * parameter_178 * species_105
reaction_109:
 {1.0}species_105 = {1.0}species_99 + {1.0}species_106
  compartment_1 * parameter_179 * species_105
reaction_11:
 {1.0}species_68 = {1.0}s118 + {1.0}species_85
  compartment_1 * parameter_19 * species_68
reaction_110:
 {1.0}species_108 + {1.0}species_104 = {1.0}species_105
  compartment_1 * (parameter_176 * species_108 * species_104 - parameter_177 * species_105)
reaction_12:
 {1.0}species_12 + {1.0}species_20 = {1.0}species_21
  compartment_1 * (parameter_32 * species_12 * species_20 - parameter_33 * species_21)
reaction_13:
 {1.0}species_14 + {1.0}species_20 = {1.0}species_22
  compartment_1 * (parameter_35 * species_14 * species_20 - parameter_36 * species_22)
reaction_14:
 {1.0}species_21 = {1.0}species_11 + {1.0}species_20
  compartment_1 * parameter_34 * species_21
reaction_15:
 {1.0}species_22 = {1.0}species_18 + {1.0}species_20
  compartment_1 * parameter_37 * species_22
reaction_16:
 {1.0}species_11 + {1.0}species_12 = {1.0}species_18
  compartment_1 * (parameter_38 * species_11 * species_12 - parameter_39 * species_18)
reaction_17:
 {1.0}species_14 = {1.0}species_23
  parameter_40 * species_14
reaction_18:
 {1.0}species_24 + {1.0}species_23 = {1.0}species_25
  c3 * (parameter_46 * species_24 * species_23 - parameter_47 * species_25)
reaction_19:
 {1.0}species_24 + {1.0}species_26 = {1.0}species_27
  c3 * (parameter_43 * species_24 * species_26 - parameter_44 * species_27)
reaction_2:
 {1.0}s118 + {1.0}species_84 = {1.0}species_68
  compartment_1 * (parameter_7 * s118 * species_84 - parameter_8 * species_68)
reaction_20:
 {1.0}species_27 = {1.0}species_28 + {1.0}species_24
  c3 * parameter_45 * species_27
reaction_21:
 {1.0}species_25 = {1.0}species_24 + {1.0}species_29
  c3 * parameter_48 * species_25
reaction_22:
 {1.0}species_28 = {1.0}species_11
  parameter_51 * species_28
reaction_23:
 $pool = {1.0}species_30
  c3 * function_1(parameter_52, parameter_53, species_23)
reaction_24:
 {1.0}species_30 = {1.0}species_31
  parameter_54 * species_30
reaction_25:
 $pool = {1.0}species_19
  compartment_1 * function_2(parameter_55, species_31)
reaction_26:
 {1.0}species_9 + {1.0}species_19 = {1.0}species_15
  compartment_1 * (parameter_56 * species_9 * species_19 - parameter_57 * species_15)
reaction_27:
 {1.0}species_31 = $pool
  compartment_1 * parameter_58 * species_31
reaction_28:
 {1.0}species_19 = $pool
  compartment_1 * parameter_59 * species_19
reaction_29:
 {1.0}species_33 + {1.0}species_32 = {1.0}species_34
  compartment_1 * (parameter_63 * species_33 * species_32 - parameter_64 * species_34)
reaction_3:
 {1.0}species_3 + {1.0}species_6 = {1.0}species_7
  compartment_1 * (parameter_5 * species_3 * species_6 - parameter_6 * species_7)
reaction_30:
 {1.0}species_35 + {1.0}species_34 = {1.0}species_37
  compartment_1 * (parameter_65 * species_35 * species_34 - parameter_66 * species_37)
reaction_31:
 {1.0}species_38 + {1.0}species_37 = {1.0}species_39
  compartment_1 * (parameter_67 * species_38 * species_37 - parameter_68 * species_39)
reaction_32:
 {1.0}species_39 = {1.0}species_40 + {1.0}species_37
  compartment_1 * (parameter_69 * species_39 - parameter_70 * species_40 * species_37)
reaction_33:
 {1.0}species_40 + {1.0}species_41 = {1.0}species_42
  compartment_1 * (parameter_71 * species_40 * species_41 - parameter_72 * species_42)
reaction_34:
 {1.0}species_42 = {1.0}species_43 + {1.0}species_44
  compartment_1 * (parameter_73 * species_42 - parameter_74 * species_43 * species_44)
reaction_35:
 {1.0}species_37 + {1.0}species_43 = {1.0}species_45
  compartment_1 * (parameter_75 * species_37 * species_43 - parameter_76 * species_45)
reaction_36:
 {1.0}species_45 = {1.0}species_37 + {1.0}species_38
  compartment_1 * (parameter_77 * species_45 - parameter_78 * species_37 * species_38)
reaction_37:
 {1.0}species_37 = {1.0}species_46 + {1.0}species_9
  compartment_1 * (parameter_79 * species_37 - parameter_80 * species_46 * species_9)
reaction_38:
 {1.0}species_46 = {1.0}species_47 + {1.0}species_48
  compartment_1 * (parameter_81 * species_46 - parameter_82 * species_47 * species_48)
reaction_39:
 {1.0}species_16 = {1.0}species_33
  compartment_1 * (parameter_61 * species_16 - parameter_62 * species_33)
reaction_4:
 {1.0}species_9 + {1.0}species_11 = {1.0}species_10
  compartment_1 * (parameter_14 * species_9 * species_11 - parameter_15 * species_10)
reaction_40:
 {1.0}species_47 = {1.0}species_32 + {1.0}species_35
  compartment_1 * (parameter_83 * species_47 - parameter_84 * species_32 * species_35)
reaction_41:
 {1.0}species_68 = {1.0}species_83 + {1.0}species_12
  compartment_1 * parameter_20 * species_68
reaction_42:
 {1.0}species_33 = {1.0}species_9 + {1.0}species_48
  compartment_1 * (parameter_87 * species_33 - parameter_88 * species_9 * species_48)
reaction_43:
 {1.0}species_32 + {1.0}species_48 = {1.0}species_36
  compartment_1 * (parameter_89 * species_32 * species_48 - parameter_90 * species_36)
reaction_44:
 {1.0}species_34 = {1.0}species_9 + {1.0}species_36
  compartment_1 * (parameter_91 * species_34 - parameter_92 * species_9 * species_36)
reaction_45:
 {1.0}species_35 + {1.0}species_36 = {1.0}species_46
  compartment_1 * (parameter_93 * species_35 * species_36 - parameter_94 * species_46)
reaction_46:
 {1.0}species_33 + {1.0}species_47 = {1.0}species_37
  compartment_1 * (parameter_95 * species_33 * species_47 - parameter_96 * species_37)
reaction_47:
 {1.0}species_49 + {1.0}species_44 = {1.0}species_50
  compartment_1 * (parameter_97 * species_49 * species_44 - parameter_98 * species_50)
reaction_48:
 {1.0}species_50 = {1.0}species_41 + {1.0}species_49
  compartment_1 * parameter_99 * species_50
reaction_49:
 {1.0}species_44 + {1.0}species_51 = {1.0}species_52
  compartment_1 * (parameter_100 * species_44 * species_51 - parameter_101 * species_52)
reaction_5:
 {2.0}species_7 = {1.0}species_8
  compartment_1 * (parameter_11 * pow(species_7, 2) - parameter_12 * species_8)
reaction_50:
 {1.0}species_52 = {1.0}species_53 + {1.0}species_44
  compartment_1 * parameter_102 * species_52
reaction_51:
 {1.0}species_44 + {1.0}species_53 = {1.0}species_54
  compartment_1 * (parameter_103 * species_44 * species_53 - parameter_104 * species_54)
reaction_52:
 {1.0}species_54 = {1.0}species_55 + {1.0}species_44
  compartment_1 * parameter_105 * species_54
reaction_53:
 {1.0}species_55 + {1.0}species_57 = {1.0}species_56
  compartment_1 * (parameter_106 * species_55 * species_57 - parameter_107 * species_56)
reaction_54:
 {1.0}species_56 = {1.0}species_57 + {1.0}species_53
  compartment_1 * parameter_108 * species_56
reaction_55:
 {1.0}species_53 + {1.0}species_57 = {1.0}species_58
  compartment_1 * (parameter_109 * species_53 * species_57 - parameter_110 * species_58)
reaction_56:
 {1.0}species_58 = {1.0}species_57 + {1.0}species_51
  compartment_1 * parameter_111 * species_58
reaction_57:
 {1.0}species_55 + {1.0}species_59 = {1.0}species_60
  compartment_1 * (parameter_112 * species_55 * species_59 - parameter_113 * species_60)
reaction_58:
 {1.0}species_60 = {1.0}species_61 + {1.0}species_55
  compartment_1 * parameter_114 * species_60
reaction_59:
 {1.0}species_55 + {1.0}species_61 = {1.0}species_62
  compartment_1 * (parameter_115 * species_55 * species_61 - parameter_116 * species_62)
reaction_6:
 {1.0}species_8 = {1.0}species_9
  compartment_1 * parameter_13 * species_8
reaction_60:
 {1.0}species_62 = {1.0}species_63 + {1.0}species_55
  compartment_1 * parameter_117 * species_62
reaction_61:
 {1.0}species_65 = {1.0}species_64 + {1.0}species_61
  compartment_1 * parameter_120 * species_65
reaction_62:
 {1.0}species_61 + {1.0}species_64 = {1.0}species_66
  compartment_1 * (parameter_121 * species_61 * species_64 - parameter_122 * species_66)
reaction_63:
 {1.0}species_66 = {1.0}species_64 + {1.0}species_59
  compartment_1 * parameter_123 * species_66
reaction_64:
 {1.0}species_63 + {1.0}species_64 = {1.0}species_65
  compartment_1 * (parameter_118 * species_63 * species_64 - parameter_119 * species_65)
reaction_65:
 {1.0}species_23 = {2.0}species_26
  c3 * (parameter_41 * species_23 - parameter_42 * pow(species_26, 2))
reaction_66:
 {1.0}species_29 = {1.0}species_26 + {1.0}species_28
  c3 * (parameter_49 * species_29 - parameter_50 * species_26 * species_28)
reaction_67:
 {1.0}species_10 + {1.0}species_84 = {1.0}species_17
  parameter_21 * species_10 * species_84 - parameter_22 * species_17
reaction_68:
 {1.0}species_67 + {1.0}species_11 = {1.0}species_17
  parameter_23 * species_67 * species_11 - parameter_24 * species_17
reaction_69:
 {1.0}species_17 = {1.0}species_10 + {1.0}species_85
  parameter_25 * species_17
reaction_7:
 {1.0}species_10 = {1.0}species_9 + {1.0}species_12
  compartment_1 * parameter_16 * species_10
reaction_70:
 {1.0}species_17 = {1.0}species_67 + {1.0}species_12
  parameter_26 * species_17
reaction_73:
 {1.0}species_15 = {1.0}species_8 + {1.0}species_19
  compartment_1 * parameter_60 * species_15
reaction_74:
 {1.0}species_74 = {1.0}species_75
  compartment_1 * function_activation(parameter_124, species_63, species_74, parameter_125)
reaction_75:
 {1.0}species_75 = {1.0}species_74
  compartment_1 * parameter_126 * species_75
reaction_76:
 {2.0}species_75 = {1.0}species_76
  compartment_1 * (parameter_127 * pow(species_75, 2) - parameter_128 * species_76)
reaction_79:
 {2.0}species_80 = {1.0}species_81
  compartment_1 * (parameter_133 * pow(species_80, 2) - parameter_134 * species_81)
reaction_8:
 {1.0}species_9 + {1.0}species_12 = {1.0}species_13
  compartment_1 * (parameter_17 * species_9 * species_12 - parameter_18 * species_13)
reaction_80:
 {1.0}species_79 + {1.0}species_78 = {1.0}species_80
  parameter_131 * species_79 * species_78 - parameter_132 * species_80
reaction_81:
 {1.0}species_81 = {1.0}species_82
  compartment_1 * parameter_135 * species_81
reaction_82:
 {1.0}species_82 + {1.0}species_84 = {1.0}species_83
  compartment_1 * (parameter_136 * species_82 * species_84 - parameter_137 * species_83)
reaction_83:
 {1.0}species_83 = {1.0}species_82 + {1.0}species_85
  compartment_1 * parameter_138 * species_83
reaction_84:
 {1.0}species_82 + {1.0}species_85 = {1.0}species_86
  compartment_1 * (parameter_139 * species_82 * species_85 - parameter_140 * species_86)
reaction_85:
 {2.0}species_85 = {1.0}species_87
  compartment_1 * (parameter_141 * pow(species_85, 2) - parameter_142 * species_87)
reaction_86:
 {1.0}species_82 + {1.0}species_108 = {1.0}species_88
  compartment_1 * (parameter_143 * species_82 * species_108 - parameter_144 * species_88)
reaction_87:
 {1.0}species_88 = {1.0}species_81 + {1.0}species_108
  compartment_1 * parameter_145 * species_88
reaction_9:
 {2.0}species_12 = {1.0}species_14
  compartment_1 * (parameter_27 * pow(species_12, 2) - parameter_28 * species_14)
reaction_90:
 {1.0}species_84 + {1.0}species_85 = {1.0}species_91
  compartment_1 * (parameter_149 * species_84 * species_85 - parameter_150 * species_91)
reaction_91:
 {1.0}species_87 = {1.0}species_92
  parameter_151 * species_87
reaction_94:
 {1.0}species_96 = {1.0}species_84
  parameter_154 * species_96
reaction_95:
 $pool = {1.0}species_97
  c2 * function_6(parameter_156, parameter_157, species_92)
reaction_96:
 {1.0}species_97 = {1.0}species_98
  parameter_158 * species_97
reaction_97:
 $pool = {1.0}species_99
  compartment_1 * function_7(parameter_159, species_98)
reaction_98:
 {1.0}species_99 + {1.0}species_82 = {1.0}species_100
  compartment_1 * (parameter_160 * species_99 * species_82 - parameter_161 * species_100)
reaction_99:
 {1.0}species_98 = $pool
  compartment_1 * parameter_162 * species_98


#parameters
parameter_1 = 0.1
parameter_10 = 2.0
parameter_100 = 0.011
parameter_101 = 0.001833
parameter_102 = 3.5
parameter_103 = 0.011
parameter_104 = 0.001833
parameter_105 = 2.9
parameter_106 = 0.0143
parameter_107 = 0.8
parameter_108 = 0.058
parameter_109 = 0.00025
parameter_11 = 0.04
parameter_110 = 0.5
parameter_111 = 0.058
parameter_112 = 0.00011
parameter_113 = 0.033
parameter_114 = 16.0
parameter_115 = 0.00011
parameter_116 = 0.033
parameter_117 = 6.7
parameter_118 = 0.014
parameter_119 = 0.6
parameter_12 = 0.2
parameter_120 = 0.27
parameter_121 = 0.005
parameter_122 = 0.5
parameter_123 = 0.3
parameter_124 = 0.2335
parameter_125 = 20000.0
parameter_126 = 0.0388
parameter_127 = 0.9854
parameter_128 = 0.0009
parameter_129 = 0.1
parameter_13 = 0.005
parameter_130 = 0.05
parameter_131 = 0.02
parameter_132 = 0.02
parameter_133 = 0.04
parameter_134 = 0.2
parameter_135 = 0.005
parameter_136 = 0.008
parameter_137 = 0.8
parameter_138 = 0.4
parameter_139 = 0.005
parameter_14 = 0.008
parameter_140 = 0.5
parameter_141 = 0.02
parameter_142 = 0.1
parameter_143 = 0.001
parameter_144 = 0.2
parameter_145 = 0.003
parameter_146 = 0.001
parameter_147 = 0.2
parameter_148 = 0.003
parameter_149 = 2e-07
parameter_15 = 0.8
parameter_150 = 0.2
parameter_151 = 0.005
parameter_152 = 0.001
parameter_153 = 0.2
parameter_154 = 0.05
parameter_155 = 0.005
parameter_156 = 0.01
parameter_157 = 400.0
parameter_158 = 0.001
parameter_159 = 0.01
parameter_16 = 0.4
parameter_160 = 0.02
parameter_161 = 0.1
parameter_162 = 0.0005
parameter_163 = 0.0005
parameter_164 = 0.001
parameter_165 = 0.2
parameter_166 = 0.003
parameter_167 = 0.005
parameter_168 = 0.5
parameter_169 = 0.001
parameter_17 = 0.005
parameter_170 = 0.2
parameter_171 = 0.005
parameter_172 = 2e-07
parameter_173 = 0.2
parameter_174 = 0.008
parameter_175 = 0.8
parameter_176 = 0.001
parameter_177 = 0.2
parameter_178 = 0.003
parameter_179 = 0.0005
parameter_18 = 0.5
parameter_19 = 0.4
parameter_2 = 0.05
parameter_20 = 0.2
parameter_21 = 0.002
parameter_22 = 2.0
parameter_221 = 0.002
parameter_222 = 2.0
parameter_223 = 0.2
parameter_224 = 0.005
parameter_225 = 0.5
parameter_226 = 0.002
parameter_227 = 2.0
parameter_228 = 0.2
parameter_229 = 0.005
parameter_23 = 0.008
parameter_230 = 0.5
parameter_231 = 0.001
parameter_232 = 400.0
parameter_233 = 0.02
parameter_234 = 0.1
parameter_235 = 0.02
parameter_236 = 0.1
parameter_237 = 0.005
parameter_238 = 0.001
parameter_239 = 0.2
parameter_24 = 0.8
parameter_240 = 0.001
parameter_241 = 0.2
parameter_242 = 0.0015
parameter_243 = 0.0015
parameter_244 = 0.0025
parameter_245 = 0.0025
parameter_25 = 0.2
parameter_26 = 0.4
parameter_27 = 0.02
parameter_28 = 0.1
parameter_29 = 0.001
parameter_3 = 0.1
parameter_30 = 0.2
parameter_31 = 0.003
parameter_32 = 0.001
parameter_33 = 0.2
parameter_34 = 0.003
parameter_35 = 0.001
parameter_36 = 0.2
parameter_37 = 0.003
parameter_38 = 2e-07
parameter_39 = 0.2
parameter_4 = 0.05
parameter_40 = 0.005
parameter_41 = 0.1
parameter_42 = 0.02
parameter_43 = 0.001
parameter_44 = 0.2
parameter_45 = 0.005
parameter_46 = 0.001
parameter_47 = 0.2
parameter_48 = 0.005
parameter_49 = 0.2
parameter_5 = 0.02
parameter_50 = 2e-07
parameter_51 = 0.05
parameter_52 = 0.01
parameter_53 = 400.0
parameter_54 = 0.001
parameter_55 = 0.01
parameter_56 = 5.0
parameter_57 = 0.1
parameter_58 = 0.0005
parameter_59 = 0.0006
parameter_6 = 0.02
parameter_60 = 0.003
parameter_61 = 6.0
parameter_62 = 0.06
parameter_63 = 0.01
parameter_64 = 0.55
parameter_65 = 0.01
parameter_66 = 0.0214
parameter_67 = 0.015
parameter_68 = 1.3
parameter_69 = 0.5
parameter_7 = 0.008
parameter_70 = 0.0001
parameter_71 = 0.001
parameter_72 = 0.0053
parameter_73 = 1.0
parameter_74 = 0.0007
parameter_75 = 0.0079
parameter_76 = 0.4
parameter_77 = 0.023
parameter_78 = 0.00022
parameter_79 = 0.47
parameter_8 = 0.8
parameter_80 = 0.000245
parameter_81 = 0.3
parameter_82 = 0.021
parameter_83 = 0.0015
parameter_84 = 0.0045
parameter_85 = 1.7
parameter_86 = 340.0
parameter_87 = 0.3
parameter_88 = 0.0009
parameter_89 = 0.01
parameter_9 = 0.002
parameter_90 = 0.55
parameter_91 = 0.3
parameter_92 = 0.0009
parameter_93 = 0.03
parameter_94 = 0.064
parameter_95 = 0.03
parameter_96 = 0.0429
parameter_97 = 0.0717
parameter_98 = 0.2
parameter_99 = 1.0
species_1 = 0.0
species_2 = 8.0
species_4 = 0.8
species_79 = 0.1
c2 = 1.0
c3 = 1.0
compartment_1 = 1.0
default = 1.0


#initial values
s118 = 0.0
s119 = 0.0
s120 = 0.0
s122 = 0.0
s126 = 0.0
s135 = 0.0
s138 = 0.0
s139 = 0.0
s140 = 12.0
species_10 = 0.0
species_100 = 0.0
species_101 = 0.0
species_102 = 0.0
species_103 = 0.0
species_104 = 0.0
species_105 = 0.0
species_106 = 0.0
species_107 = 12.0
species_108 = 100.0
species_11 = 1000.0
species_12 = 0.0
species_13 = 0.0
species_14 = 0.0
species_15 = 0.0
species_16 = 0.0
species_17 = 0.0
species_18 = 0.0
species_19 = 0.0
species_20 = 50.0
species_21 = 0.0
species_22 = 0.0
species_23 = 0.0
species_24 = 60.0
species_25 = 0.0
species_26 = 0.0
species_27 = 0.0
species_28 = 0.0
species_29 = 0.0
species_3 = 0.0
species_30 = 0.0
species_31 = 0.0
species_32 = 85.0
species_33 = 0.0
species_34 = 0.0
species_35 = 34.0
species_36 = 0.0
species_37 = 0.0
species_38 = 19000.0
species_39 = 0.0
species_40 = 0.0
species_41 = 67.0
species_42 = 0.0
species_43 = 0.0
species_44 = 0.0
species_45 = 0.0
species_46 = 0.0
species_47 = 0.0
species_48 = 0.0
species_49 = 67.0
species_5 = 12.0
species_50 = 0.0
species_51 = 41667.0
species_52 = 0.0
species_53 = 0.0
species_54 = 0.0
species_55 = 0.0
species_56 = 0.0
species_57 = 67.0
species_58 = 0.0
species_59 = 35000.0
species_6 = 0.0
species_60 = 0.0
species_61 = 0.0
species_62 = 0.0
species_63 = 0.0
species_64 = 16667.0
species_65 = 0.0
species_66 = 0.0
species_67 = 0.0
species_68 = 0.0
species_7 = 0.0
species_74 = 40493.0
species_75 = 0.0
species_76 = 0.0
species_78 = 0.0
species_8 = 0.0
species_80 = 0.0
species_81 = 0.0
species_82 = 0.0
species_83 = 0.0
species_84 = 1000.0
species_85 = 0.0
species_86 = 0.0
species_87 = 0.0
species_88 = 0.0
species_9 = 0.0
species_90 = 0.0
species_91 = 0.0
species_92 = 0.0
species_94 = 0.0
species_95 = 0.0
species_96 = 0.0
species_97 = 0.0
species_98 = 0.0
species_99 = 0.0


#assignment rules
!F s137 = s119 + species_13 + s135 + 2.0 * species_22 + species_21 + s126 + 2.0 * species_25 + species_27 + s120 + s122 + 2.0 * species_14 + species_12 + species_18 + 2.0 * species_23 + species_26 + species_29
!F s136 = species_86 + 2.0 * species_101 + s135 + species_90 + 2.0 * species_102 + s126 + species_94 + 2.0 * species_87 + s120 + species_85 + species_91 + 2.0 * species_92 + s122 + species_95 + species_103 + s139