from tbidbaxlipo.plots.nbd_bax_analysis import plot_2conf_fits, plot_3conf_fits from tbidbaxlipo.plots.x141203_Bax_Bax_FRET.preprocess_data \ import df_pre, df, nbd_residues from matplotlib import pyplot as plt plt.ion() plot_2conf_fits(df_pre, nbd_residues, activator='Bid', dtype='FRET', replicates=(1,)) #plot_3conf_fits(df_pre, nbd_residues, activator='Bid', dtype='FRET', # replicates=(1,))
from tbidbaxlipo.plots.nbd_bax_analysis import plot_2conf_fits, plot_3conf_fits from tbidbaxlipo.plots.bid_bim_fret_nbd_release.preprocess_data \ import df_pre, df, nbd_residues from matplotlib import pyplot as plt plt.ion() nbd_residues=['184'] fret_fr = plot_2conf_fits(df_pre, nbd_residues, activator='Bim', dtype='FRET', replicates=(1, 2, 3)) #plt.show() nbd_fr = plot_3conf_fits(df_pre, nbd_residues, activator='Bim', dtype='NBD', replicates=(1, 2, 3)) #plt.show() fret_k1 = [fret_fr[i].param_dict['c0_to_c1_k'] for i in range(3)] nbd_k1 = [nbd_fr[i].param_dict['c0_to_c1_k'] for i in range(3)] print "FRET", fret_k1 print "NBD", nbd_k1