# run_receptor_activation.bngl # load and run receptor_activation model using NF and HPP methods version("2.2.4+") setModelName("receptor_activation") readFile({file=>"receptor_activation.bngl",allow_actions=>0}) # configure HPP begin parameters # fraction of cell to simulate f 0.01 # population lumping rate, /s k_lump 10000 end parameters begin population maps L(r) -> P1() k_lump A(r,b~0) -> P2() k_lump A(r,b~P) -> P3() k_lump A(r,b~P!1).B(r!1,c) -> P4() k_lump A(r,b~P!1).B(r!1,c!2).C(b!2) -> P5() k_lump B(r,c) -> P6() k_lump B(r,c!1).C(b!1) -> P7() k_lump C(b) -> P8() k_lump end population maps # actions: saveConcentrations() # simulate with NFsim simulate_nf({ suffix=>"nf", t_end=>40, n_steps=>120, gml=>1000000, verbose=>1 }) # generate partial network and simulate with HPP resetConcentrations() generate_hybrid_model({ suffix=>"hpp", overwrite=>1, verbose=>1, execute=>1,\ actions=>["simulate_nf({ suffix=>\"nf\", t_end=>40, n_steps=>120, gml=>1000000, verbose=>1 })"] })