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A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna Kumar Department of Physics Drexel University QuickTime™ and a TIFF (Uncompressed) decompressor are needed to see this picture.

A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

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Page 1: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

A Systems Biology Approach to Cancer

Therapy and Early Detection

A Systems Biology Approach to Cancer

Therapy and Early Detection

Avijit Ghosh

Dhruv Pant, Rui Zou, Dave MillerYihua Wang, Hanbing Lin

Travis Hoppe, Aparna Kumar

Department of PhysicsDrexel University

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Page 2: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Outline

Signal Transduction Overview

Mutations, Oncogenes, Proto-Oncogenes Mathematical Models

Enzymes Mutations

Predicting Putative Oncogenes using Systems Biology D. Pant A. Ghosh (2005) Biophys. Chem 113(3) 275-288

The Results Experimentally Validated Results New Predictions

Drugs! Spatio-Temporal Modeling CellSim Overview

Page 3: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Signal Transduction

Controls behavior of cells Ion Channels Metabolic Pathways Cytoskeletal Proteins Gene Regulatory Proteins

Cell cycle Cytoskeletal rearrangement

D. Slish Mechanism of Tyrosine Kinase Receptors

U.Platt.

Page 4: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

The Normal Functioning MAPK Signal Cascade

Page 5: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Signaling and Cell Growth

Input : EGF – Epidermal Growth

Factor Output:

Signal for gene transcription :: ERK

Activation: Phosphorylation GTP/GDP binding

Page 6: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

EGF stimulation and ERK response

Page 7: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Oncogenes and Tumor Suppressor Genes

Oncogene - A gene (protein) that when mutated or inappropriately expressed contributes to cancer formation Mutations in signal transduction genes Mutations in Tumor Suppressor genes INHERITED

Activation Point Mutation Chromosomal rearrangement Gene amplification Viral Insertion

Page 8: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

The Ras Protein

Scheffzick et.al. (1997) Science 277 pp 333-338

• Ras Protein• Active – GTP Bound• Inactive – GDP Bound

•GAP (GTPase Activating Protein)

• Hydrolyzes GTP in Ras

•Gly12 – Stops Ras Gap Interactions•Gln61 – Stops hydrolysis

Page 9: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Interactions

E+Sk1, fk1,b

← →⏐ ⏐ E.S

E.Sk2, f⏐ →⏐ ⏐ E + S*

1, 1, 2,

[ ][ ][ ] [ . ] [ . ]f b f

d Ek E S k E S k E S

dt=− + +

1, 1, 2,

[ . ][ ][ ] [ . ] [ . ]f b f

d E Sk E S k E S k E S

dt= − +

1, 1,

[ ][ ][ ] [ . ]f b

d Sk E S k E S

dt=− +

2,

[ *][ . ]f

d Sk E S

dt=

Page 10: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

EGF / MAPK / PLC / PLC-γ/ PKC / Calcium / PLA2 Pathways

#

# locations

# the volume is a optional parameter

# our volume units are L

location extracellular 1E-10 Ca-extlocation cytosol 1E-12location endosome 1.6E-13 Ca-sequester

# Channels

channel capacitive_Ca_entry* Ca-ext -> Ca :: 0.005channel Ca-leak-from-extracell Ca-ext -> Ca :: 0.004channel Ca-leak-to-cytoplasm Ca-sequester->Ca :: 8channel IP3R* Ca-sequester -> Ca :: 19.2

# conservationReactions

#conserve CaEPump :: Ca_CaEPump#conserve CaTransp-2Ca :: CaTransp#conserve mGluR :: Rec-Glu Rec-Glu-Gq Rec-Gq Blocked-rec-Gq#conserve PLC :: match /PLC-/#conserve PLA2-cytosolic :: match /PLA2/

# sum up#sum PKC-active :: PKC-DAG-AA* PKC-Ca-memb* PKC-Ca-AA* PKC-DAG-memb*# sumReactions

# (native units are #/compartment)

Ca + CaEPump <> Ca_CaEPump :: 0.003 288Ca_CaEPump -> CaEPump +Ca-ext :: 72 Ca.PLC_g + L.EGFR <> Ca.PLC_g_L.EGFR :: 5e-06 0.8Ca.PLC_g_L.EGFR -> L.EGFR +Ca.PLC_g* :: 0.2 SHC + L.EGFR <> SHC_L.EGFR :: 2e-06 0.8SHC_L.EGFR -> L.EGFR +SHC* :: 0.2 MAPK + MAPKK* <> MAPK_MAPKK* :: 2.7e-05 0.6MAPK_MAPKK* -> MAPKK* +MAPK-tyr :: 0.15 MAPK-tyr + MAPKK* <> MAPK-tyr_MAPKK* :: 2.7e-05 0.6MAPK-tyr_MAPKK* -> MAPKK* +MAPK* :: 0.15 MAPKK + Raf-GTP-Ras* <> MAPKK_Raf-GTP-Ras* :: 5.5e-06 0.42MAPKK_Raf-GTP-Ras* -> Raf-GTP-Ras* +MAPKK-ser :: 0.105 MAPKK-ser + Raf-GTP-Ras* <> MAPKK-ser_Raf-GTP-Ras* :: 5.5e-06 0.42MAPKK-ser_Raf-GTP-Ras* -> Raf-GTP-Ras* +MAPKK* :: 0.105 #craf-1 + PKC-active <> craf-1_PKC-active :: 5e-07 16#craf-1_PKC-active -> PKC-active +craf-1* :: 4 #GAP + PKC-active <> GAP_PKC-active :: 1e-05 16#GAP_PKC-active -> PKC-active +GAP* :: 4 #inact-GEF + PKC-active <> inact-GEF_PKC-active :: 1e-05 16#inact-GEF_PKC-active -> PKC-active +GEF* :: 4 craf-1 + PKC-DAG-AA* <> craf-1_PKC-DAG-AA* :: 5e-07 16craf-1_PKC-DAG-AA* -> PKC-DAG-AA* +craf-1* :: 4 GAP + PKC-DAG-AA* <> GAP_PKC-DAG-AA* :: 1e-05 16GAP_PKC-DAG-AA* -> PKC-DAG-AA* +GAP* :: 4 inact-GEF + PKC-DAG-AA* <> inact-GEF_PKC-DAG-AA* :: 1e-05 16inact-GEF_PKC-DAG-AA* -> PKC-DAG-AA* +GEF* :: 4 craf-1 + PKC-Ca-memb* <> craf-1_PKC-Ca-memb* :: 5e-07 16craf-1_PKC-Ca-memb* -> PKC-Ca-memb* +craf-1* :: 4 GAP + PKC-Ca-memb* <> GAP_PKC-Ca-memb* :: 1e-05 16GAP_PKC-Ca-memb* -> PKC-Ca-memb* +GAP* :: 4 inact-GEF + PKC-Ca-memb* <> inact-GEF_PKC-Ca-memb* :: 1e-05 16inact-GEF_PKC-Ca-memb* -> PKC-Ca-memb* +GEF* :: 4 craf-1 + PKC-Ca-AA* <> craf-1_PKC-Ca-AA* :: 5e-07 16craf-1_PKC-Ca-AA* -> PKC-Ca-AA* +craf-1* :: 4 GAP + PKC-Ca-AA* <> GAP_PKC-Ca-AA* :: 1e-05 16GAP_PKC-Ca-AA* -> PKC-Ca-AA* +GAP* :: 4 inact-GEF + PKC-Ca-AA* <> inact-GEF_PKC-Ca-AA* :: 1e-05 16inact-GEF_PKC-Ca-AA* -> PKC-Ca-AA* +GEF* :: 4 craf-1 + PKC-DAG-memb* <> craf-1_PKC-DAG-memb* :: 5e-07 16

craf-1_PKC-DAG-memb* -> PKC-DAG-memb* +craf-1* :: 4 GAP + PKC-DAG-memb* <> GAP_PKC-DAG-memb* :: 1e-05 16GAP_PKC-DAG-memb* -> PKC-DAG-memb* +GAP* :: 4 inact-GEF + PKC-DAG-memb* <> inact-GEF_PKC-DAG-memb* :: 1e-05 16inact-GEF_PKC-DAG-memb* -> PKC-DAG-memb* +GEF* :: 4 craf-1 + PKC-basal* <> craf-1_PKC-basal* :: 5e-07 16craf-1_PKC-basal* -> PKC-basal* +craf-1* :: 4 GAP + PKC-basal* <> GAP_PKC-basal* :: 1e-05 16GAP_PKC-basal* -> PKC-basal* +GAP* :: 4 inact-GEF + PKC-basal* <> inact-GEF_PKC-basal* :: 1e-05 16inact-GEF_PKC-basal* -> PKC-basal* +GEF* :: 4 craf-1 + PKC-AA* <> craf-1_PKC-AA* :: 5e-07 16craf-1_PKC-AA* -> PKC-AA* +craf-1* :: 4 GAP + PKC-AA* <> GAP_PKC-AA* :: 1e-05 16GAP_PKC-AA* -> PKC-AA* +GAP* :: 4 inact-GEF + PKC-AA* <> inact-GEF_PKC-AA* :: 1e-05 16inact-GEF_PKC-AA* -> PKC-AA* +GEF* :: 4 # end expandAPC + PLA2-Ca* <> APC_PLA2-Ca* :: 2.25e-06 21.6APC_PLA2-Ca* -> PLA2-Ca* +AA :: 5.4 APC + PIP2-PLA2* <> APC_PIP2-PLA2* :: 4.6e-06 44.16APC_PIP2-PLA2* -> PIP2-PLA2* +AA :: 11.04 APC + PIP2-Ca-PLA2* <> APC_PIP2-Ca-PLA2* :: 1.5e-05 144APC_PIP2-Ca-PLA2* -> PIP2-Ca-PLA2* +AA :: 36 APC + DAG-Ca-PLA2* <> APC_DAG-Ca-PLA2* :: 2.5e-05 240APC_DAG-Ca-PLA2* -> DAG-Ca-PLA2* +AA :: 60 APC + PLA2*-Ca <> APC_PLA2*-Ca :: 5e-05 480APC_PLA2*-Ca -> PLA2*-Ca +AA :: 120 PLA2-cytosolic + MAPK* <> PLA2-cytosolic_MAPK* :: 6.5e-06 80PLA2-cytosolic_MAPK* -> MAPK* +PLA2* :: 20 craf-1* + MAPK* <> craf-1*_MAPK* :: 3.25e-06 40craf-1*_MAPK* -> MAPK* +craf-1** :: 10 Sos + MAPK* <> Sos_MAPK* :: 3.25e-05 40Sos_MAPK* -> MAPK* +Sos* :: 10 MAPK-tyr + MKP-1 <> MAPK-tyr_MKP-1 :: 0.000125 4MAPK-tyr_MKP-1 -> MKP-1 +MAPK :: 1 MAPK* + MKP-1 <> MAPK*_MKP-1 :: 0.000125 4MAPK*_MKP-1 -> MKP-1 +MAPK-tyr :: 1 craf-1* + PPhosphatase2A <> craf-1*_PPhosphatase2A :: 3.3e-06 25craf-1*_PPhosphatase2A -> PPhosphatase2A +craf-1 :: 6 MAPKK* + PPhosphatase2A <> MAPKK*_PPhosphatase2A :: 3.3e-06 25MAPKK*_PPhosphatase2A -> PPhosphatase2A +MAPKK-ser :: 6 MAPKK-ser + PPhosphatase2A <> MAPKK-ser_PPhosphatase2A :: 3.3e-06 25MAPKK-ser_PPhosphatase2A -> PPhosphatase2A +MAPKK :: 6 craf-1** + PPhosphatase2A <> craf-1**_PPhosphatase2A :: 3.3e-06 25craf-1**_PPhosphatase2A -> PPhosphatase2A +craf-1* :: 6 inact-GEF + PKA-active <> inact-GEF_PKA-active :: 1e-05 36inact-GEF_PKA-active -> PKA-active +inact-GEF* :: 9 GDP-Ras + Shc*.Sos.Grb2 <> GDP-Ras_Shc*.Sos.Grb2 :: 3.3e-07 0.08GDP-Ras_Shc*.Sos.Grb2 -> Shc*.Sos.Grb2 +GTP-Ras :: 0.02 PIP2 + PLC-Ca <> PIP2_PLC-Ca :: 4.2e-06 40 PIP2_PLC-Ca -> PLC-Ca +DAG + IP3 :: 10 PIP2 + PLC-Ca-Gq <> PIP2_PLC-Ca-Gq :: 8e-05 192PIP2_PLC-Ca-Gq -> PLC-Ca-Gq +DAG + IP3 :: 48 PIP2 + Ca.PLC_g <> PIP2_Ca.PLC_g :: 1.2e-06 56PIP2_Ca.PLC_g -> Ca.PLC_g +DAG + IP3 :: 14 PIP2 + Ca.PLC_g* <> PIP2_Ca.PLC_g* :: 2.4e-05 228PIP2_Ca.PLC_g* -> Ca.PLC_g* +DAG + IP3 :: 57 GDP-Ras + GEF-Gprot-bg <> GDP-Ras_GEF-Gprot-bg :: 3.3e-07 0.08GDP-Ras_GEF-Gprot-bg -> GEF-Gprot-bg +GTP-Ras :: 0.02 GDP-Ras + GEF* <> GDP-Ras_GEF* :: 3.3e-07 0.08GDP-Ras_GEF* -> GEF* +GTP-Ras :: 0.02 GTP-Ras + GAP <> GTP-Ras_GAP :: 0.001666 1000GTP-Ras_GAP -> GAP +GDP-Ras :: 10 GDP-Ras + CaM-GEF <> GDP-Ras_CaM-GEF :: 3.3e-07 0.08GDP-Ras_CaM-GEF -> CaM-GEF +GTP-Ras :: 0.02 CaTransp-2Ca -> CaTransp + Ca-sequester + Ca-sequester :: 25

Ca +CaTransp +Ca <> CaTransp-2Ca :: 1e-08 144 IP3R +IP3 +IP3 +IP3 <> IP3R* :: 1e-20 1 Ca-sequester +Ca-sequester +capacitive_Ca_entry* <> inact_cap_entry :: 1.2e-11 1 EGFR +EGF <> L.EGFR :: 7e-06 0.25 SHC* -> SHC :: 0.0016667 L.EGFR <> Internal_L.EGFR :: 0.002 0.00033 mGluR +Glu <> Rec-Glu :: 2.8e-05 10 G-GDP -> G*GTP + BetaGamma :: 0.0001 G*GDP +BetaGamma -> G-GDP :: 1e-05 G*GTP -> G*GDP :: 0.0133 G-GDP +Rec-Glu <> Rec-Glu-Gq :: 1e-08 0.0001 Glu +Rec-Gq <> Rec-Glu-Gq :: 2.8e-05 0.1 Rec-Glu-Gq -> G*GTP + BetaGamma + Rec-Glu :: 0.01 G-GDP +mGluR <> Rec-Gq :: 1e-06 1 Rec-Gq +mGluRAntag <> Blocked-rec-Gq :: 0.0001 0.01 craf-1* +GTP-Ras <> Raf-GTP-Ras* :: 4e-05 0.5 PKC-cytosolic +Ca <> PKC-Ca :: 1e-06 0.5 DAG +PKC-Ca <> PKC-Ca-DAG :: 1.3333e-08 8.6348 PKC-Ca <> PKC-Ca-memb* :: 1.2705 3.5026 PKC-Ca-DAG <> PKC-DAG-memb* :: 1 0.1 PKC-Ca +AA <> PKC-Ca-AA* :: 2e-09 0.1 PKC-DAG-AA <> PKC-DAG-AA* :: 2 0.2 PKC-cytosolic <> PKC-basal* :: 1 50 AA +PKC-cytosolic <> PKC-AA* :: 2e-10 0.1 PKC-cytosolic +DAG <> PKC-DAG :: 1e-09 0.1 PKC-DAG +AA <> PKC-DAG-AA :: 3e-08 2 PLA2-cytosolic +Ca <> PLA2-Ca* :: 1.6667e-06 0.1 temp-PIP2 +PLA2-cytosolic <> PIP2-PLA2* :: 2e-09 0.5 temp-PIP2 +PLA2-Ca* <> PIP2-Ca-PLA2* :: 2e-08 0.1 DAG +PLA2-Ca* <> DAG-Ca-PLA2* :: 5e-09 4 AA -> APC :: 0.4 PLA2* +Ca <> PLA2*-Ca :: 1e-05 0.1 PLA2* -> PLA2-cytosolic :: 0.17 Ca +PLC <> PLC-Ca :: 5e-06 1 IP3 -> Inositol :: 2.5 DAG -> PC :: 0.15 G*GTP +PLC-Ca <> PLC-Ca-Gq :: 4.2e-05 1 PLC-Ca-Gq -> G*GDP + PLC-Ca :: 0.0133 PLC +G*GTP <> PLC-Gq :: 4.2e-06 1 Ca +PLC-Gq <> PLC-Ca-Gq :: 5e-05 1 PLC_g +Ca <> Ca.PLC_g :: 0.0003 10 Ca +PLC_G* <> Ca.PLC_g* :: 2e-05 10 Ca.PLC_g* -> Ca.PLC_g :: 0.05 BetaGamma +inact-GEF <> GEF-Gprot-bg :: 1e-05 1 GEF* -> inact-GEF :: 1 GTP-Ras -> GDP-Ras :: 0.0001 GAP* -> GAP :: 0.1 inact-GEF +CaM-Ca4 <> CaM-GEF :: 0.0001 1 inact-GEF* -> inact-GEF :: 1 Sos.Grb2 +SHC* <> Shc*.Sos.Grb2 :: 8.333e-07 0.1 Sos* +Grb2 <> Sos*.Grb2 :: 4.1667e-08 0.0168 Sos* -> Sos :: 0.001 Grb2 +Sos <> Sos.Grb2 :: 4.1667e-08 0.0168

Page 11: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Leads to..d[capacitive_ca_entry*]/dt = 1[inact_cap_entry] - 1.2e-11[ca-sequester][ca-sequester][capacitive_ca_entry*]d[ca]/dt = 288[ca_caepump] + 144[catransp-2ca] + 144[catransp-2ca] + 0.5[pkc-ca] + 0.1[pla2-ca*] + 0.1[pla2*-ca] + 1[plc-ca] + 1[plc-ca-gq] + 10[ca.plc_g] + 10[ca.plc_g*] - 0.003[ca][caepump] - 1e-08[ca][catransp][ca] - 1e-08[ca][catransp][ca] - 1e-06[pkc-cytosolic][ca] - 1.6667e-06[pla2-cytosolic][ca] - 1e-05[pla2*][ca] - 5e-06[ca][plc] - 5e-05[ca][plc-gq] - 0.0003[plc_g][ca] - 2e-05[ca][plc_g*] + 0.005 * [capacitive_ca_entry*] * ( [ca-ext] - [ca] ) + 0.004 * [ca-leak-from-extracell] * ( [ca-ext] - [ca] ) + 8 * [ca-leak-to-cytoplasm] * ( [ca-sequester] - [ca] ) + 19.2 * [ip3r*] * ( [ca-sequester] - [ca] ) d[ca-leak-from-extracell]/dt = d[ca-leak-to-cytoplasm]/dt = d[ip3r*]/dt = 1e-20[ip3r][ip3][ip3][ip3] - 1[ip3r*]d[caepump]/dt = 288[ca_caepump] + 72[ca_caepump] - 0.003[ca][caepump]d[ca_caepump]/dt = 0.003[ca][caepump] - 288[ca_caepump] - 72[ca_caepump]d[ca.plc_g]/dt = 0.8[ca.plc_g_l.egfr] + 56[pip2_ca.plc_g] + 14[pip2_ca.plc_g] + 0.0003[plc_g][ca] + 0.05[ca.plc_g*] - 5e-06[ca.plc_g][l.egfr] - 1.2e-06[pip2][ca.plc_g] - 10[ca.plc_g]d[l.egfr]/dt = 0.8[ca.plc_g_l.egfr] + 0.2[ca.plc_g_l.egfr] + 0.8[shc_l.egfr] + 0.2[shc_l.egfr] + 7e-06[egfr][egf] + 0.00033[internal_l.egfr] - 5e-06[ca.plc_g][l.egfr] - 2e-06[shc][l.egfr] - 0.25[l.egfr] - 0.002[l.egfr]d[ca.plc_g_l.egfr]/dt = 5e-06[ca.plc_g][l.egfr] - 0.8[ca.plc_g_l.egfr] - 0.2[ca.plc_g_l.egfr]d[ca.plc_g*]/dt = 0.2[ca.plc_g_l.egfr] + 228[pip2_ca.plc_g*] + 57[pip2_ca.plc_g*] + 2e-05[ca][plc_g*] - 2.4e-05[pip2][ca.plc_g*] - 10[ca.plc_g*] - 0.05[ca.plc_g*]d[shc]/dt = 0.8[shc_l.egfr] + 0.0016667[shc*] - 2e-06[shc][l.egfr]d[shc_l.egfr]/dt = 2e-06[shc][l.egfr] - 0.8[shc_l.egfr] - 0.2[shc_l.egfr]d[shc*]/dt = 0.2[shc_l.egfr] + 0.1[shc*.sos.grb2] - 0.0016667[shc*] - 8.333e-07[sos.grb2][shc*]d[mapk]/dt = 0.6[mapk_mapkk*] + 1[mapk-tyr_mkp-1] - 2.7e-05[mapk][mapkk*]d[mapkk*]/dt = 0.6[mapk_mapkk*] + 0.15[mapk_mapkk*] + 0.6[mapk-tyr_mapkk*] + 0.15[mapk-tyr_mapkk*] + 0.105[mapkk-ser_raf-gtp-ras*] + 25[mapkk*_pphosphatase2a] - 2.7e-05[mapk][mapkk*] - 2.7e-05[mapk-tyr][mapkk*] - 3.3e-06[mapkk*][pphosphatase2a]d[mapk_mapkk*]/dt = 2.7e-05[mapk][mapkk*] - 0.6[mapk_mapkk*] - 0.15[mapk_mapkk*]d[mapk-tyr]/dt = 0.15[mapk_mapkk*] + 0.6[mapk-tyr_mapkk*] + 4[mapk-tyr_mkp-1] + 1[mapk*_mkp-1] - 2.7e-05[mapk-tyr][mapkk*] - 0.000125[mapk-tyr][mkp-1]d[mapk-tyr_mapkk*]/dt = 2.7e-05[mapk-tyr][mapkk*] - 0.6[mapk-tyr_mapkk*] - 0.15[mapk-tyr_mapkk*]d[mapk*]/dt = 0.15[mapk-tyr_mapkk*] + 80[pla2-cytosolic_mapk*] + 20[pla2-cytosolic_mapk*] + 40[craf-1*_mapk*] + 10[craf-1*_mapk*] + 40[sos_mapk*] + 10[sos_mapk*] + 4[mapk*_mkp-1] - 6.5e-06[pla2-cytosolic][mapk*] - 3.25e-06[craf-1*][mapk*] - 3.25e-05[sos][mapk*] - 0.000125[mapk*][mkp-1]d[mapkk]/dt = 0.42[mapkk_raf-gtp-ras*] + 6[mapkk-ser_pphosphatase2a] - 5.5e-06[mapkk][raf-gtp-ras*]d[raf-gtp-ras*]/dt = 0.42[mapkk_raf-gtp-ras*] + 0.105[mapkk_raf-gtp-ras*] + 0.42[mapkk-ser_raf-gtp-ras*] + 0.105[mapkk-ser_raf-gtp-ras*] + 4e-05[craf-1*][gtp-ras] - 5.5e-06[mapkk][raf-gtp-ras*] - 5.5e-06[mapkk-ser][raf-gtp-ras*] - 0.5[raf-gtp-ras*]d[mapkk_raf-gtp-ras*]/dt = 5.5e-06[mapkk][raf-gtp-ras*] - 0.42[mapkk_raf-gtp-ras*] - 0.105[mapkk_raf-gtp-ras*]d[mapkk-ser]/dt = 0.105[mapkk_raf-gtp-ras*] + 0.42[mapkk-ser_raf-gtp-ras*] + 6[mapkk*_pphosphatase2a] + 25[mapkk-ser_pphosphatase2a] - 5.5e-06[mapkk-ser][raf-gtp-ras*] - 3.3e-06[mapkk-ser][pphosphatase2a]d[mapkk-ser_raf-gtp-ras*]/dt = 5.5e-06[mapkk-ser][raf-gtp-ras*] - 0.42[mapkk-ser_raf-gtp-ras*] - 0.105[mapkk-ser_raf-gtp-ras*]d[craf-1]/dt = 16[craf-1_pkc-dag-aa*] + 16[craf-1_pkc-ca-memb*] + 16[craf-1_pkc-ca-aa*] + 16[craf-1_pkc-dag-memb*] + 16[craf-1_pkc-basal*] + 16[craf-1_pkc-aa*] + 6[craf-1*_pphosphatase2a] - 5e-07[craf-1][pkc-dag-aa*] - 5e-07[craf-1][pkc-ca-memb*] - 5e-07[craf-1][pkc-ca-aa*] - 5e-07[craf-1][pkc-dag-memb*] - 5e-07[craf-1][pkc-basal*] - 5e-07[craf-1][pkc-aa*]d[pkc-dag-aa*]/dt = 16[craf-1_pkc-dag-aa*] + 4[craf-1_pkc-dag-aa*] + 16[gap_pkc-dag-aa*] + 4[gap_pkc-dag-aa*] + 16[inact-gef_pkc-dag-aa*] + 4[inact-gef_pkc-dag-aa*] + 2[pkc-dag-aa] - 5e-07[craf-1][pkc-dag-aa*] - 1e-05[gap][pkc-dag-aa*] - 1e-05[inact-gef][pkc-dag-aa*] - 0.2[pkc-dag-aa*]d[craf-1_pkc-dag-aa*]/dt = 5e-07[craf-1][pkc-dag-aa*] - 16[craf-1_pkc-dag-aa*] - 4[craf-1_pkc-dag-aa*]d[craf-1*]/dt = 4[craf-1_pkc-dag-aa*] + 4[craf-1_pkc-ca-memb*] + 4[craf-1_pkc-ca-aa*] + 4[craf-1_pkc-dag-memb*] + 4[craf-1_pkc-basal*] + 4[craf-1_pkc-aa*] + 40[craf-1*_mapk*] + 25[craf-1*_pphosphatase2a] + 6[craf-1**_pphosphatase2a] + 0.5[raf-gtp-ras*] - 3.25e-06[craf-1*][mapk*] - 3.3e-06[craf-1*][pphosphatase2a] - 4e-05[craf-1*][gtp-ras]d[gap]/dt = 16[gap_pkc-dag-aa*] + 16[gap_pkc-ca-memb*] + 16[gap_pkc-ca-aa*] + 16[gap_pkc-dag-memb*] + 16[gap_pkc-basal*] + 16[gap_pkc-aa*] + 1000[gtp-ras_gap] + 10[gtp-ras_gap] + 0.1[gap*] - 1e-05[gap][pkc-dag-aa*] - 1e-05[gap][pkc-ca-memb*] - 1e-05[gap][pkc-ca-aa*] - 1e-05[gap][pkc-dag-memb*] - 1e-05[gap][pkc-basal*] - 1e-05[gap][pkc-aa*] - 0.001666[gtp-ras][gap]d[gap_pkc-dag-aa*]/dt = 1e-05[gap][pkc-dag-aa*] - 16[gap_pkc-dag-aa*] - 4[gap_pkc-dag-aa*]d[gap*]/dt = 4[gap_pkc-dag-aa*] + 4[gap_pkc-ca-memb*] + 4[gap_pkc-ca-aa*] + 4[gap_pkc-dag-memb*] + 4[gap_pkc-basal*] + 4[gap_pkc-aa*] - 0.1[gap*]d[inact-gef]/dt = 16[inact-gef_pkc-dag-aa*] + 16[inact-gef_pkc-ca-memb*] + 16[inact-gef_pkc-ca-aa*] + 16[inact-gef_pkc-dag-memb*] + 16[inact-gef_pkc-basal*] + 16[inact-gef_pkc-aa*] + 36[inact-gef_pka-active] + 1[gef-gprot-bg] + 1[gef*] + 1[cam-gef] + 1[inact-gef*] - 1e-05[inact-gef][pkc-dag-aa*] - 1e-05[inact-gef][pkc-ca-memb*] - 1e-05[inact-gef][pkc-ca-aa*] - 1e-05[inact-gef][pkc-dag-memb*] - 1e-05[inact-gef][pkc-basal*] - 1e-05[inact-gef][pkc-aa*] - 1e-05[inact-gef][pka-active] - 1e-05[betagamma][inact-gef] - 0.0001[inact-gef][cam-ca4]d[inact-gef_pkc-dag-aa*]/dt = 1e-05[inact-gef][pkc-dag-aa*] - 16[inact-gef_pkc-dag-aa*] - 4[inact-gef_pkc-dag-aa*]d[gef*]/dt = 4[inact-gef_pkc-dag-aa*] + 4[inact-gef_pkc-ca-memb*] + 4[inact-gef_pkc-ca-aa*] + 4[inact-gef_pkc-dag-memb*] + 4[inact-gef_pkc-basal*] + 4[inact-gef_pkc-aa*] + 0.08[gdp-ras_gef*] + 0.02[gdp-ras_gef*] - 3.3e-07[gdp-ras][gef*] - 1[gef*]d[pkc-ca-memb*]/dt = 16[craf-1_pkc-ca-memb*] + 4[craf-1_pkc-ca-memb*] + 16[gap_pkc-ca-memb*] + 4[gap_pkc-ca-memb*] + 16[inact-gef_pkc-ca-memb*] + 4[inact-gef_pkc-ca-memb*] + 1.2705[pkc-ca] - 5e-07[craf-1][pkc-ca-memb*] - 1e-05[gap][pkc-ca-memb*] - 1e-05[inact-gef][pkc-ca-memb*] - 3.5026[pkc-ca-memb*]d[craf-1_pkc-ca-memb*]/dt = 5e-07[craf-1][pkc-ca-memb*] - 16[craf-1_pkc-ca-memb*] - 4[craf-1_pkc-ca-memb*]d[gap_pkc-ca-memb*]/dt = 1e-05[gap][pkc-ca-memb*] - 16[gap_pkc-ca-memb*] - 4[gap_pkc-ca-memb*]d[inact-gef_pkc-ca-memb*]/dt = 1e-05[inact-gef][pkc-ca-memb*] - 16[inact-gef_pkc-ca-memb*] - 4[inact-gef_pkc-ca-memb*]d[pkc-ca-aa*]/dt = 16[craf-1_pkc-ca-aa*] + 4[craf-1_pkc-ca-aa*] + 16[gap_pkc-ca-aa*] + 4[gap_pkc-ca-aa*] + 16[inact-gef_pkc-ca-aa*] + 4[inact-gef_pkc-ca-aa*] + 2e-09[pkc-ca][aa] - 5e-07[craf-1][pkc-ca-aa*] - 1e-05[gap][pkc-ca-aa*] - 1e-05[inact-gef][pkc-ca-aa*] - 0.1[pkc-ca-aa*]d[craf-1_pkc-ca-aa*]/dt = 5e-07[craf-1][pkc-ca-aa*] - 16[craf-1_pkc-ca-aa*] - 4[craf-1_pkc-ca-aa*]d[gap_pkc-ca-aa*]/dt = 1e-05[gap][pkc-ca-aa*] - 16[gap_pkc-ca-aa*] - 4[gap_pkc-ca-aa*]d[glu]/dt = 10[rec-glu] + 0.1[rec-glu-gq] - 2.8e-05[mglur][glu] - 2.8e-05[glu][rec-gq]d[rec-glu]/dt = 2.8e-05[mglur][glu] + 0.0001[rec-glu-gq] + 0.01[rec-glu-gq] - 10[rec-glu] - 1e-08[g-gdp][rec-glu]d[g-gdp]/dt = 1e-05[g*gdp][betagamma] + 0.0001[rec-glu-gq] + 1[rec-gq] - 0.0001[g-gdp] - 1e-08[g-gdp][rec-glu] - 1e-06[g-gdp][mglur]d[g*gtp]/dt = 0.0001[g-gdp] + 0.01[rec-glu-gq] + 1[plc-ca-gq] + 1[plc-gq] - 0.0133[g*gtp] - 4.2e-05[g*gtp][plc-ca] - 4.2e-06[plc][g*gtp]d[betagamma]/dt = 0.0001[g-gdp] + 0.01[rec-glu-gq] + 1[gef-gprot-bg] - 1e-05[g*gdp][betagamma] - 1e-05[betagamma][inact-gef]d[g*gdp]/dt = 0.0133[g*gtp] + 0.0133[plc-ca-gq] - 1e-05[g*gdp][betagamma]d[rec-glu-gq]/dt = 1e-08[g-gdp][rec-glu] + 2.8e-05[glu][rec-gq] - 0.0001[rec-glu-gq] - 0.1[rec-glu-gq] - 0.01[rec-glu-gq]d[rec-gq]/dt = 0.1[rec-glu-gq] + 1e-06[g-gdp][mglur] + 0.01[blocked-rec-gq] - 2.8e-05[glu][rec-gq] - 1[rec-gq] - 0.0001[rec-gq][mglurantag]d[mglurantag]/dt = 0.01[blocked-rec-gq] - 0.0001[rec-gq][mglurantag]d[blocked-rec-gq]/dt = 0.0001[rec-gq][mglurantag] - 0.01[blocked-rec-gq]d[pkc-cytosolic]/dt = 0.5[pkc-ca] + 50[pkc-basal*] + 0.1[pkc-aa*] + 0.1[pkc-dag] - 1e-06[pkc-cytosolic][ca] - 1[pkc-cytosolic] - 2e-10[aa][pkc-cytosolic] - 1e-09[pkc-cytosolic][dag]d[pkc-ca]/dt = 1e-06[pkc-cytosolic][ca] + 8.6348[pkc-ca-dag] + 3.5026[pkc-ca-memb*] + 0.1[pkc-ca-aa*] - 0.5[pkc-ca] - 1.3333e-08[dag][pkc-ca] - 1.2705[pkc-ca] - 2e-09[pkc-ca][aa]d[pkc-ca-dag]/dt = 1.3333e-08[dag][pkc-ca] + 0.1[pkc-dag-memb*] - 8.6348[pkc-ca-dag] - 1[pkc-ca-dag]d[pkc-dag-aa]/dt = 0.2[pkc-dag-aa*] + 3e-08[pkc-dag][aa] - 2[pkc-dag-aa] - 2[pkc-dag-aa]d[pkc-dag]/dt = 1e-09[pkc-cytosolic][dag] + 2[pkc-dag-aa] - 0.1[pkc-dag] - 3e-08[pkc-dag][aa]d[temp-pip2]/dt = 0.5[pip2-pla2*] + 0.1[pip2-ca-pla2*] - 2e-09[temp-pip2][pla2-cytosolic] - 2e-08[temp-pip2][pla2-ca*]d[plc]/dt = 1[plc-ca] + 1[plc-gq] - 5e-06[ca][plc] - 4.2e-06[plc][g*gtp]d[inositol]/dt = 2.5[ip3]d[pc]/dt = 0.15[dag]d[plc-gq]/dt = 4.2e-06[plc][g*gtp] + 1[plc-ca-gq] - 1[plc-gq] - 5e-05[ca][plc-gq]d[plc_g]/dt = 10[ca.plc_g] - 0.0003[plc_g][ca]d[plc_g*]/dt = 10[ca.plc_g*] - 2e-05[ca][plc_g*]d[cam-ca4]/dt = 1[cam-gef] - 0.0001[inact-gef][cam-ca4]d[sos.grb2]/dt = 0.1[shc*.sos.grb2] + 4.1667e-08[grb2][sos] - 8.333e-07[sos.grb2][shc*] - 0.0168[sos.grb2]d[grb2]/dt = 0.0168[sos*.grb2] + 0.0168[sos.grb2] - 4.1667e-08[sos*][grb2] - 4.1667e-08[grb2][sos]d[sos*.grb2]/dt = 4.1667e-08[sos*][grb2] - 0.0168[sos*.grb2]d[ca-ext]/dt = 72[ca_caepump] - 0.005 * [capacitive_ca_entry*] * ( [ca-ext] - [ca] ) - 0.004 * [ca-leak-from-extracell] * ( [ca-ext] - [ca] ) d[ca-sequester]/dt = 25[catransp-2ca] + 25[catransp-2ca] + 1[inact_cap_entry] + 1[inact_cap_entry] - 1.2e-11[ca-sequester][ca-sequester][capacitive_ca_entry*] - 1.2e-11[ca-sequester][ca-sequester]

[capacitive_ca_entry*] - 8 * [ca-leak-to-cytoplasm] * ( [ca-sequester] - [ca] ) - 19.2 * [ip3r*] * ( [ca-sequester] - [ca] )

d[inact-gef_pkc-ca-aa*]/dt = 1e-05[inact-gef][pkc-ca-aa*] - 16[inact-gef_pkc-ca-aa*] - 4[inact-gef_pkc-ca-aa*]d[pkc-dag-memb*]/dt = 16[craf-1_pkc-dag-memb*] + 4[craf-1_pkc-dag-memb*] + 16[gap_pkc-dag-memb*] + 4[gap_pkc-dag-memb*] + 16[inact-gef_pkc-dag-memb*] + 4[inact-gef_pkc-dag-memb*] + 1[pkc-ca-dag] - 5e-07[craf-1][pkc-dag-memb*] - 1e-05[gap][pkc-dag-memb*] - 1e-05[inact-gef][pkc-dag-memb*] - 0.1[pkc-dag-memb*]d[craf-1_pkc-dag-memb*]/dt = 5e-07[craf-1][pkc-dag-memb*] - 16[craf-1_pkc-dag-memb*] - 4[craf-1_pkc-dag-memb*]d[gap_pkc-dag-memb*]/dt = 1e-05[gap][pkc-dag-memb*] - 16[gap_pkc-dag-memb*] - 4[gap_pkc-dag-memb*]d[inact-gef_pkc-dag-memb*]/dt = 1e-05[inact-gef][pkc-dag-memb*] - 16[inact-gef_pkc-dag-memb*] - 4[inact-gef_pkc-dag-memb*]d[pkc-basal*]/dt = 16[craf-1_pkc-basal*] + 4[craf-1_pkc-basal*] + 16[gap_pkc-basal*] + 4[gap_pkc-basal*] + 16[inact-gef_pkc-basal*] + 4[inact-gef_pkc-basal*] + 1[pkc-cytosolic] - 5e-07[craf-1][pkc-basal*] - 1e-05[gap][pkc-basal*] - 1e-05[inact-gef][pkc-basal*] - 50[pkc-basal*]d[craf-1_pkc-basal*]/dt = 5e-07[craf-1][pkc-basal*] - 16[craf-1_pkc-basal*] - 4[craf-1_pkc-basal*]d[gap_pkc-basal*]/dt = 1e-05[gap][pkc-basal*] - 16[gap_pkc-basal*] - 4[gap_pkc-basal*]d[inact-gef_pkc-basal*]/dt = 1e-05[inact-gef][pkc-basal*] - 16[inact-gef_pkc-basal*] - 4[inact-gef_pkc-basal*]d[pkc-aa*]/dt = 16[craf-1_pkc-aa*] + 4[craf-1_pkc-aa*] + 16[gap_pkc-aa*] + 4[gap_pkc-aa*] + 16[inact-gef_pkc-aa*] + 4[inact-gef_pkc-aa*] + 2e-10[aa][pkc-cytosolic] - 5e-07[craf-1][pkc-aa*] - 1e-05[gap][pkc-aa*] - 1e-05[inact-gef][pkc-aa*] - 0.1[pkc-aa*]d[craf-1_pkc-aa*]/dt = 5e-07[craf-1][pkc-aa*] - 16[craf-1_pkc-aa*] - 4[craf-1_pkc-aa*]d[gap_pkc-aa*]/dt = 1e-05[gap][pkc-aa*] - 16[gap_pkc-aa*] - 4[gap_pkc-aa*]d[inact-gef_pkc-aa*]/dt = 1e-05[inact-gef][pkc-aa*] - 16[inact-gef_pkc-aa*] - 4[inact-gef_pkc-aa*]d[apc]/dt = 21.6[apc_pla2-ca*] + 44.16[apc_pip2-pla2*] + 144[apc_pip2-ca-pla2*] + 240[apc_dag-ca-pla2*] + 480[apc_pla2*-ca] + 0.4[aa] - 2.25e-06[apc][pla2-ca*] - 4.6e-06[apc][pip2-pla2*] - 1.5e-05[apc][pip2-ca-pla2*] - 2.5e-05[apc][dag-ca-pla2*] - 5e-05[apc][pla2*-ca]d[pla2-ca*]/dt = 21.6[apc_pla2-ca*] + 5.4[apc_pla2-ca*] + 1.6667e-06[pla2-cytosolic][ca] + 0.1[pip2-ca-pla2*] + 4[dag-ca-pla2*] - 2.25e-06[apc][pla2-ca*] - 0.1[pla2-ca*] - 2e-08[temp-pip2][pla2-ca*] - 5e-09[dag][pla2-ca*]d[apc_pla2-ca*]/dt = 2.25e-06[apc][pla2-ca*] - 21.6[apc_pla2-ca*] - 5.4[apc_pla2-ca*]d[aa]/dt = 5.4[apc_pla2-ca*] + 11.04[apc_pip2-pla2*] + 36[apc_pip2-ca-pla2*] + 60[apc_dag-ca-pla2*] + 120[apc_pla2*-ca] + 0.1[pkc-ca-aa*] + 0.1[pkc-aa*] + 2[pkc-dag-aa] - 2e-09[pkc-ca][aa] - 2e-10[aa][pkc-cytosolic] - 3e-08[pkc-dag][aa] - 0.4[aa]d[pip2-pla2*]/dt = 44.16[apc_pip2-pla2*] + 11.04[apc_pip2-pla2*] + 2e-09[temp-pip2][pla2-cytosolic] - 4.6e-06[apc][pip2-pla2*] - 0.5[pip2-pla2*]d[apc_pip2-pla2*]/dt = 4.6e-06[apc][pip2-pla2*] - 44.16[apc_pip2-pla2*] - 11.04[apc_pip2-pla2*]d[pip2-ca-pla2*]/dt = 144[apc_pip2-ca-pla2*] + 36[apc_pip2-ca-pla2*] + 2e-08[temp-pip2][pla2-ca*] - 1.5e-05[apc][pip2-ca-pla2*] - 0.1[pip2-ca-pla2*]d[apc_pip2-ca-pla2*]/dt = 1.5e-05[apc][pip2-ca-pla2*] - 144[apc_pip2-ca-pla2*] - 36[apc_pip2-ca-pla2*]d[dag-ca-pla2*]/dt = 240[apc_dag-ca-pla2*] + 60[apc_dag-ca-pla2*] + 5e-09[dag][pla2-ca*] - 2.5e-05[apc][dag-ca-pla2*] - 4[dag-ca-pla2*]d[apc_dag-ca-pla2*]/dt = 2.5e-05[apc][dag-ca-pla2*] - 240[apc_dag-ca-pla2*] - 60[apc_dag-ca-pla2*]d[pla2*-ca]/dt = 480[apc_pla2*-ca] + 120[apc_pla2*-ca] + 1e-05[pla2*][ca] - 5e-05[apc][pla2*-ca] - 0.1[pla2*-ca]d[apc_pla2*-ca]/dt = 5e-05[apc][pla2*-ca] - 480[apc_pla2*-ca] - 120[apc_pla2*-ca]d[pla2-cytosolic]/dt = 80[pla2-cytosolic_mapk*] + 0.1[pla2-ca*] + 0.5[pip2-pla2*] + 0.17[pla2*] - 6.5e-06[pla2-cytosolic][mapk*] - 1.6667e-06[pla2-cytosolic][ca] - 2e-09[temp-pip2][pla2-cytosolic]d[pla2-cytosolic_mapk*]/dt = 6.5e-06[pla2-cytosolic][mapk*] - 80[pla2-cytosolic_mapk*] - 20[pla2-cytosolic_mapk*]d[pla2*]/dt = 20[pla2-cytosolic_mapk*] + 0.1[pla2*-ca] - 1e-05[pla2*][ca] - 0.17[pla2*]d[craf-1*_mapk*]/dt = 3.25e-06[craf-1*][mapk*] - 40[craf-1*_mapk*] - 10[craf-1*_mapk*]d[craf-1**]/dt = 10[craf-1*_mapk*] + 25[craf-1**_pphosphatase2a] - 3.3e-06[craf-1**][pphosphatase2a]d[sos]/dt = 40[sos_mapk*] + 0.001[sos*] + 0.0168[sos.grb2] - 3.25e-05[sos][mapk*] - 4.1667e-08[grb2][sos]d[sos_mapk*]/dt = 3.25e-05[sos][mapk*] - 40[sos_mapk*] - 10[sos_mapk*]d[sos*]/dt = 10[sos_mapk*] + 0.0168[sos*.grb2] - 4.1667e-08[sos*][grb2] - 0.001[sos*]d[mkp-1]/dt = 4[mapk-tyr_mkp-1] + 1[mapk-tyr_mkp-1] + 4[mapk*_mkp-1] + 1[mapk*_mkp-1] - 0.000125[mapk-tyr][mkp-1] - 0.000125[mapk*][mkp-1]d[mapk-tyr_mkp-1]/dt = 0.000125[mapk-tyr][mkp-1] - 4[mapk-tyr_mkp-1] - 1[mapk-tyr_mkp-1]d[mapk*_mkp-1]/dt = 0.000125[mapk*][mkp-1] - 4[mapk*_mkp-1] - 1[mapk*_mkp-1]d[pphosphatase2a]/dt = 25[craf-1*_pphosphatase2a] + 6[craf-1*_pphosphatase2a] + 25[mapkk*_pphosphatase2a] + 6[mapkk*_pphosphatase2a] + 25[mapkk-ser_pphosphatase2a] + 6[mapkk-ser_pphosphatase2a] + 25[craf-1**_pphosphatase2a] + 6[craf-1**_pphosphatase2a] - 3.3e-06[craf-1*][pphosphatase2a] - 3.3e-06[mapkk*][pphosphatase2a] - 3.3e-06[mapkk-ser][pphosphatase2a] - 3.3e-06[craf-1**][pphosphatase2a]d[craf-1*_pphosphatase2a]/dt = 3.3e-06[craf-1*][pphosphatase2a] - 25[craf-1*_pphosphatase2a] - 6[craf-1*_pphosphatase2a]d[mapkk*_pphosphatase2a]/dt = 3.3e-06[mapkk*][pphosphatase2a] - 25[mapkk*_pphosphatase2a] - 6[mapkk*_pphosphatase2a]d[mapkk-ser_pphosphatase2a]/dt = 3.3e-06[mapkk-ser][pphosphatase2a] - 25[mapkk-ser_pphosphatase2a] - 6[mapkk-ser_pphosphatase2a]d[craf-1**_pphosphatase2a]/dt = 3.3e-06[craf-1**][pphosphatase2a] - 25[craf-1**_pphosphatase2a] - 6[craf-1**_pphosphatase2a]d[pka-active]/dt = 36[inact-gef_pka-active] + 9[inact-gef_pka-active] - 1e-05[inact-gef][pka-active]d[inact-gef_pka-active]/dt = 1e-05[inact-gef][pka-active] - 36[inact-gef_pka-active] - 9[inact-gef_pka-active]d[inact-gef*]/dt = 9[inact-gef_pka-active] - 1[inact-gef*]d[gdp-ras]/dt = 0.08[gdp-ras_shc*.sos.grb2] + 0.08[gdp-ras_gef-gprot-bg] + 0.08[gdp-ras_gef*] + 10[gtp-ras_gap] + 0.08[gdp-ras_cam-gef] + 0.0001[gtp-ras] - 3.3e-07[gdp-ras][shc*.sos.grb2] - 3.3e-07[gdp-ras][gef-gprot-bg] - 3.3e-07[gdp-ras][gef*] - 3.3e-07[gdp-ras][cam-gef]d[shc*.sos.grb2]/dt = 0.08[gdp-ras_shc*.sos.grb2] + 0.02[gdp-ras_shc*.sos.grb2] + 8.333e-07[sos.grb2][shc*] - 3.3e-07[gdp-ras][shc*.sos.grb2] - 0.1[shc*.sos.grb2]d[gdp-ras_shc*.sos.grb2]/dt = 3.3e-07[gdp-ras][shc*.sos.grb2] - 0.08[gdp-ras_shc*.sos.grb2] - 0.02[gdp-ras_shc*.sos.grb2]d[gtp-ras]/dt = 0.02[gdp-ras_shc*.sos.grb2] + 0.02[gdp-ras_gef-gprot-bg] + 0.02[gdp-ras_gef*] + 1000[gtp-ras_gap] + 0.02[gdp-ras_cam-gef] + 0.5[raf-gtp-ras*] - 0.001666[gtp-ras][gap] - 4e-05[craf-1*][gtp-ras] - 0.0001[gtp-ras]d[pip2]/dt = 40[pip2_plc-ca] + 192[pip2_plc-ca-gq] + 56[pip2_ca.plc_g] + 228[pip2_ca.plc_g*] - 4.2e-06[pip2][plc-ca] - 8e-05[pip2][plc-ca-gq] - 1.2e-06[pip2][ca.plc_g] - 2.4e-05[pip2][ca.plc_g*]d[plc-ca]/dt = 40[pip2_plc-ca] + 10[pip2_plc-ca] + 5e-06[ca][plc] + 1[plc-ca-gq] + 0.0133[plc-ca-gq] - 4.2e-06[pip2][plc-ca] - 1[plc-ca] - 4.2e-05[g*gtp][plc-ca]d[pip2_plc-ca]/dt = 4.2e-06[pip2][plc-ca] - 40[pip2_plc-ca] - 10[pip2_plc-ca]d[dag]/dt = 10[pip2_plc-ca] + 48[pip2_plc-ca-gq] + 14[pip2_ca.plc_g] + 57[pip2_ca.plc_g*] + 8.6348[pkc-ca-dag] + 0.1[pkc-dag] + 4[dag-ca-pla2*] - 1.3333e-08[dag][pkc-ca] - 1e-09[pkc-cytosolic][dag] - 5e-09[dag][pla2-ca*] - 0.15[dag]d[ip3]/dt = 10[pip2_plc-ca] + 48[pip2_plc-ca-gq] + 14[pip2_ca.plc_g] + 57[pip2_ca.plc_g*] + 1[ip3r*] + 1[ip3r*] + 1[ip3r*] - 1e-20[ip3r][ip3][ip3][ip3] - 1e-20[ip3r][ip3][ip3][ip3] - 1e-20[ip3r][ip3][ip3][ip3] - 2.5[ip3]d[plc-ca-gq]/dt = 192[pip2_plc-ca-gq] + 48[pip2_plc-ca-gq] + 4.2e-05[g*gtp][plc-ca] + 5e-05[ca][plc-gq] - 8e-05[pip2][plc-ca-gq] - 1[plc-ca-gq] - 0.0133[plc-ca-gq] - 1[plc-ca-gq]d[pip2_plc-ca-gq]/dt = 8e-05[pip2][plc-ca-gq] - 192[pip2_plc-ca-gq] - 48[pip2_plc-ca-gq]d[pip2_ca.plc_g]/dt = 1.2e-06[pip2][ca.plc_g] - 56[pip2_ca.plc_g] - 14[pip2_ca.plc_g]d[pip2_ca.plc_g*]/dt = 2.4e-05[pip2][ca.plc_g*] - 228[pip2_ca.plc_g*] - 57[pip2_ca.plc_g*]d[gef-gprot-bg]/dt = 0.08[gdp-ras_gef-gprot-bg] + 0.02[gdp-ras_gef-gprot-bg] + 1e-05[betagamma][inact-gef] - 3.3e-07[gdp-ras][gef-gprot-bg] - 1[gef-gprot-bg]d[gdp-ras_gef-gprot-bg]/dt = 3.3e-07[gdp-ras][gef-gprot-bg] - 0.08[gdp-ras_gef-gprot-bg] - 0.02[gdp-ras_gef-gprot-bg]d[gdp-ras_gef*]/dt = 3.3e-07[gdp-ras][gef*] - 0.08[gdp-ras_gef*] - 0.02[gdp-ras_gef*]d[gtp-ras_gap]/dt = 0.001666[gtp-ras][gap] - 1000[gtp-ras_gap] - 10[gtp-ras_gap]d[cam-gef]/dt = 0.08[gdp-ras_cam-gef] + 0.02[gdp-ras_cam-gef] + 0.0001[inact-gef][cam-ca4] - 3.3e-07[gdp-ras][cam-gef] - 1[cam-gef]d[gdp-ras_cam-gef]/dt = 3.3e-07[gdp-ras][cam-gef] - 0.08[gdp-ras_cam-gef] - 0.02[gdp-ras_cam-gef]d[catransp-2ca]/dt = 1e-08[ca][catransp][ca] - 25[catransp-2ca] - 144[catransp-2ca]d[catransp]/dt = 25[catransp-2ca] + 144[catransp-2ca] - 1e-08[ca][catransp][ca]d[ip3r]/dt = 1[ip3r*] - 1e-20[ip3r][ip3][ip3][ip3]d[inact_cap_entry]/dt = 1.2e-11[ca-sequester][ca-sequester][capacitive_ca_entry*] - 1[inact_cap_entry]d[egfr]/dt = 0.25[l.egfr] - 7e-06[egfr][egf]d[egf]/dt = 0.25[l.egfr] - 7e-06[egfr][egf]d[internal_l.egfr]/dt = 0.002[l.egfr] - 0.00033[internal_l.egfr]d[mglur]/dt = 10[rec-glu] + 1[rec-gq] - 2.8e-05[mglur][glu] - 1e-06[g-gdp][mglur]

Page 12: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Parameters

1: Science. 1999 Jan 15;283(5400):381-7.

Emergent properties of networks of biological signaling pathways.

Bhalla US, Iyengar R.

Page 13: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

How may a mutation affect kinetics?

1

1

2

2

/

/

b

b

G k Tf

G k Tf

k Ae

k Ae

−Δ

−Δ

=

=

1 2

1 2

/f f b

f f

k k k Tk k e δ′ ′ −= =

δ

δ =−kbT log

′kf1

kf1( )

Page 14: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Effects on signaling

A mutation between two unique species

Affects Reactant State

Affects Product State

Affects Transition State

′kf =e−δ /kTkf

′kb =e−δ /kTkb

′kf =e−δ /kTkf

′kb =e−δ /kTkb

Page 15: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Cancer as a cumulative process

Multiple Mutations at different sites contribute to tumor transformation

Tumor may exist as “families” of differentially mutated cells

Overrides resistance of tumor to treatment

Page 16: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

“In Silico” Interaction Knockout experiments

Page 17: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Single Site Transformations(kf’/kf)

Page 18: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Top Ranked Mutations

X* + pp2a X*.pp2a 0.75

X*.pp2a X + pp2a 0.75

raf* + gtp-ras raf*.gtp.ras 0.60

Gtp-ras.gap gap + gdp-ras 0.55

raf* + pp2a raf*.pp2a 0.55

gtp-ras + gap gtp.ras_gap 0.55

AA apc 0.55

Ca.CaPump capump + ca-ext 0.55

X + Raf.GTP.Ras X.Raf.GTP.Ras 0.50

PKC.DAG + AA PKC.DAG.AA* 0.50

Page 19: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Top Ranked expression level mutations

0.4 MKP-1

0.5 GAP

0.7 PP2-A

1.4 PKC-I

1.6 Raf

1.7 Ras

Species

1.9 GEF

2.8 MEK

3.0 PLC

3.4 PLC-g

3.6 ERK

k'

k

k'

k Species

Page 20: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Advantages of In Silico Pathway Analysis

Using experimentally validated models of a working signal pathway and a simple kinetic view of mutations

One can: Quantify (and rank)

Single Interaction Mutations Multiple Interaction Mutations Initial State Mutations

Many results are validated in the literature

Several new and non-obvious predictions

Page 21: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

In Silico Cancer Cells

We have developed a family of “in silico” cancer cells as models of pathways

What is this good for?

Page 22: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

The effect of Drugs on Signaling in mutated cells

E + Sà Üàá àà ES⏐ →⏐ E + P

E + I à Üàá àà EI

E + Sà Üàá àà E.S⏐ →⏐ E + P

E + I à Üàá àà EI + Sà Üàá àà EISà Üàá àà ES+ I

Competitive Binding

Noncompetitive binding

Page 23: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

ERK Target

Page 24: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

MEK Target

Page 25: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Calciumblockers

Page 26: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Threshold “Ranking”

Page 27: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Experimental Assays PLC- - peptide based inhibitors PLC - U73122 PKC - Tamoxifen , Go6976, SPC-100221 PLA-2 - Quinacrine (anti-inflammatory) ERK - MEK - AZD6244/ARRY-142886, CI-1040 , PD98059 Ras - R115577, BMS-214462 SCH-66336 Raf - Bay43-9006 ISIS-5132 GEF - Calcium Blockers Verapamil , Nicardipine

Page 28: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Overview

Ras/Gap mutations predicted PP2A mutations predicted Ras/Raf interaction “importance” predicted Much of the overexpression/underexpression

mutations predicted Drug targets are for the most part have experimental counter

parts.

Page 29: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Transport?

?=

Page 30: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

How to treat real cells?

d[S*]

dt=k2, f [E.S] + Ds∇

2[S* ] + vg∇[S* ]

d[E]

dt=−k1, f [E][S] + k1,b[E.S] + k2, f [E.S] + DE∇

2[E]

d[S]

dt=−k1, f [E][S] + k1,b[E.S] + DS∇

2[S]

d[E.S]

dt=k1, f [E][S] −k1,b[E.S] + k2, f [E.S] + DE.S∇

2[E.S]

Page 31: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Confocal Imaging and Quantum Dots

(Andres Kriete)

QDots

Tunable

Photostable

Narrow Emission Spectra

Broad Absorption Spectrum

Confocal Imaging Live Cells and fixed cells sub micron imaging

Page 32: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Quantitative Signaling Analysis

Data from Confocal Imaging

- derivation of “in vivo” rate constants through global analysis

Given time sliced images and model

Derived rate constants will “fit” experimental images best (global optimization problem) with confidence intervals

- wealth of data helps prevent over fitting C(x,y,z,t) - “Automated” Sensitivity Analysis will be used for fitting

Page 33: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Cell(ular)Sim(ulator)

•Cross Platform (Linux, Windows, MacOS X, Solaris) •Multiprocessor (MPI) (linear scaling)•Freely Available (GPL) •Pseudo-C Scripting Language

Adaptive Integrators (Reaction Diffusion) with Sensitivity Analysis - (Adaptive 2nd and 4th order Rosenbrock, Euler RK2,RK4,ARK4) - Strang Split RDR Coupled Diffusion

Page 34: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Analysis Optimization Tools

Sensitivity Analysis Module (Automatic generation of Jacobian, Hessian)

MCA Module (Conservation Relationships) Global Optimization Tools - Use tools derived by the Protein Folding

Community (and elsewhere) - Simulated Annealing - Monte Carlo + Minimization - GA / Evolutionary Programming

Page 35: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Numerical Methods

Reaction - DiffusionReaction - Advection

RADAR

Must ||’ize well and must be accurate

Equations are stiff, Jacobian is Sparse

Page 36: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Reaction Operator :: Rosenbrock

drC

dt= f (

rC,

rk,t)

y(t+ h) =y(t) + piuii∑

(1−hJ )⋅ui =hf (y+ α ijuj ) + hJ ⋅ ijujj

i−1

∑j∑

We have this for solving

d

dt

drC

drk

Inherently || for our distribution scheme

Page 37: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Diffusion Operator

Simple || algorithm based on explicit (FTCS) method

Simple single processor method based on Crank-Nicolson

|| Crank-Nicolson method based on the fact that you are solving a slew of independent 1D tri-diagonal solves

Page 38: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Advection Operator

Based on Lax (explicit, inherently || )

Nonlinear part of advection operator moved to reactionOperator

dC / dt =∇⋅rvC + R(C,t)

dC / dt =rv⋅∇C +C(∇⋅

rv) + R(C,t)

dC / dt =rv⋅∇C + R'(C,t)

Page 39: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Time Step Adaptability

Calculate the splitting error (and local errors) : use total error for estimating time step

Currently we have this for Reaction-Diffusion

Page 40: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Visualization

Cross Platform QT/OpenGL Code Base

Client / Server (Socket Based) GUI“Live” Interaction with Numerical Code 1D/2D/3D time lapse contour plots Mouse-based interactive manipulation

Flexible Modular Design

To Be Implemented Point and Click graphical Entry of Biological Pathways, Grid Geometry, Initial Parameters and Control

Page 41: A Systems Biology Approach to Cancer Therapy and Early Detection Avijit Ghosh Dhruv Pant, Rui Zou, Dave Miller Yihua Wang, Hanbing Lin Travis Hoppe, Aparna

Special topics on Electrical and Systems Engineering 2007Systems Biology

Who did the real work? Dhruv Pant Ph.D.

Dave Miller Ray Zou Yihua Wang Hanbing Lin Tom Shortell Travis Hoppe Aparna Kumar

Email : [email protected]

http://bio.physics.drexel.eduhttp://bio.physics.drexel.edu/systemsBiology