OXT-Binding-Model / python_scripts / oxtrc_hek_oxt_mircom_se.ipynb
oxtrc_hek_oxt_mircom_se.ipynb
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{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5fc8df5b",
   "metadata": {},
   "source": [
    "# OXT - OXTR model\n"
   ]
  },
  {
   "cell_type": "raw",
   "id": "bee9e0dd",
   "metadata": {},
   "source": [
    "Author: Preeti Dubey\n",
    "Title: OXTR complex formation simulations done for HEK cells when [OXT] = 1 microM"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fcefb9d",
   "metadata": {},
   "source": [
    "### Here, we are defining the ode model to perform simulation for surface level HEK293 cells data provided by lab\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5223c2b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy.integrate import odeint\n",
    "import matplotlib.pyplot as plt\n",
    "import csv\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "03f90e37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# OXT and OXTR binding code for wild type\n",
    "\n",
    "def oxtmodel(x, t):\n",
    "    \n",
    "#     kon = 1.46e+5 # per molar per sec\n",
    "#     koff = 8.3e-5 # per sec\n",
    "    kon = 8.8e+6 # per molar per min (from gulliver thesis)\n",
    "    koff = 0.005 # per min (from gulliver thesis)\n",
    "    #kon = 5.28e+8 # per molar per hr (from gulliver thesis)\n",
    "    #koff = 0.3 # per hr (from gulliver thesis)\n",
    "    \n",
    "    Av = 6e+23\n",
    "    V = 1e-12 # litre It is HEK293 cells volume given as 1046 cubic micro meter in the paper\n",
    "    Div = V*Av  # dividend of the oxtr copies \n",
    "    oxt = x[0]\n",
    "    oxtr = x[1]\n",
    "    oxr = x[2]\n",
    "   \n",
    "    \n",
    "    doxtdt = -kon*oxt*(oxtr) + koff*oxr\n",
    "    doxtrdt = -kon*oxt*(oxtr) + koff*oxr\n",
    "    doxrdt = kon*oxt*(oxtr) -koff*oxr\n",
    "\n",
    "    return(doxtrdt, doxtrdt, doxrdt)\n",
    "\n",
    "\n",
    "initial_t = 0\n",
    "end_t =1\n",
    "num = 100\n",
    "Av = 6e+23\n",
    "V = 1e-12 # litre It is HEK293 cells volume given as 1046 cubic micro meter in the paper\n",
    "Div = V*Av\n",
    "# oxtr conc is x copies/cell\n",
    "# we need to get the molar concetration of oxtr in mol/litre\n",
    "# conc. = N/V = x/1e-12\n",
    "\n",
    "# molar concentration c = conc/NA = x/(1e-12*6e+23) mol/L \n",
    "\n",
    "\n",
    "\n",
    "# initial condition for wild type \n",
    "x0_wt = [1e-6, 2.54e-7, 0]\n",
    "# initial condition for mutants V281M\n",
    "x0_v281m = [1e-6, 1.28e-7, 0]\n",
    "# initial condition for mutants P108A\n",
    "x0_p108a = [1e-6, 3.1e-7, 0]\n",
    "# initial condition for mutants L206V\n",
    "x0_l206v = [1e-6, 3.55e-7, 0]\n",
    "# initial condition for mutants V45L\n",
    "x0_v45l = [1e-6, 2.37e-7, 0]\n",
    "# initial condition for mutants E339K\n",
    "x0_e339k = [1e-6, 1.69e-7, 0]\n",
    "\n",
    "# time span\n",
    "t = np.linspace(initial_t, end_t, num)\n",
    "\n",
    "# ode integration for all types \n",
    "x_wt = odeint(oxtmodel,x0_wt,t)   \n",
    "x_v281m = odeint(oxtmodel,x0_v281m,t)   \n",
    "x_p108a = odeint(oxtmodel,x0_p108a,t)   \n",
    "x_l206v = odeint(oxtmodel,x0_l206v,t)   \n",
    "x_v45l = odeint(oxtmodel,x0_v45l,t)   \n",
    "x_e339k = odeint(oxtmodel,x0_e339k,t) \n",
    "\n",
    "\n",
    "\n",
    "# solution extraction for wild type\n",
    "oxt_wt = x_wt[:, 0]\n",
    "oxtr_wt = x_wt[:, 1]\n",
    "oxr_wt = x_wt[:, 2]\n",
    "\n",
    "oxt_wt_c = oxt_wt*Div\n",
    "oxtr_wt_c = oxtr_wt*Div\n",
    "oxr_wt_c = oxr_wt*Div\n",
    "\n",
    "# solution extraction for mutant V281M\n",
    "\n",
    "oxt_v281m = x_v281m[:, 0]\n",
    "oxtr_v281m = x_v281m[:, 1]\n",
    "oxr_v281m = x_v281m[:, 2]\n",
    "\n",
    "oxt_v281m_c = oxt_v281m*Div\n",
    "oxtr_v281m_c = oxtr_v281m*Div\n",
    "oxr_v281m_c = oxr_v281m*Div\n",
    "\n",
    "# solution extraction for mutant P108A\n",
    "\n",
    "oxt_p108a = x_p108a[:, 0]\n",
    "oxtr_p108a = x_p108a[:, 1]\n",
    "oxr_p108a = x_p108a[:, 2]\n",
    "\n",
    "oxt_p108a_c = oxt_p108a*Div\n",
    "oxtr_p108a_c = oxtr_p108a*Div\n",
    "oxr_p108a_c = oxr_p108a*Div\n",
    "\n",
    "\n",
    "# solution extraction for mutant L206V\n",
    "\n",
    "oxt_l206v = x_l206v[:, 0]\n",
    "oxtr_l206v = x_l206v[:, 1]\n",
    "oxr_l206v = x_l206v[:, 2]\n",
    "\n",
    "oxt_l206v_c = oxt_l206v*Div\n",
    "oxtr_l206v_c = oxtr_l206v*Div\n",
    "oxr_l206v_c = oxr_l206v*Div\n",
    "\n",
    "# solution extraction for mutant V45L\n",
    "\n",
    "oxt_v45l = x_v45l[:, 0]\n",
    "oxtr_v45l = x_v45l[:, 1]\n",
    "oxr_v45l = x_v45l[:, 2]\n",
    "\n",
    "oxt_v45l_c = oxt_v45l*Div\n",
    "oxtr_v45l_c = oxtr_v45l*Div\n",
    "oxr_v45l_c = oxr_v45l*Div\n",
    "# solution extraction for mutant E339K\n",
    "\n",
    "oxt_e339k = x_e339k[:, 0]\n",
    "oxtr_e339k = x_e339k[:, 1]\n",
    "oxr_e339k = x_e339k[:, 2]\n",
    "\n",
    "oxt_e339k_c = oxt_e339k*Div\n",
    "oxtr_e339k_c = oxtr_e339k*Div\n",
    "oxr_e339k_c = oxr_e339k*Div\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_figheight(8)\n",
    "fig.set_figwidth(12)\n",
    "fig.subplots_adjust(right=0.5)\n",
    "\n",
    "\n",
    "twin1 = ax.twinx()\n",
    "\n",
    "\n",
    "# l1, = ax.plot(t, oxr_l206v/1e-6, ':', linewidth=4, color='blue', label='OxR (L206V)')\n",
    "# l2, = twin1.plot(t, oxr_l206v_c, ':', linewidth=4, color='blue', label='OxR (L206V)')\n",
    "# p1, = ax.plot(t, oxr_p108a/1e-6, '-.', linewidth=4, color='green', label='OxR (P108A)')\n",
    "# p2, = twin1.plot(t, oxr_p108a_c, '-.', linewidth=4, color='green', label='OxR (P108A)')\n",
    "# w1, = ax.plot(t, oxr_wt/1e-6, '-', linewidth=4, color='black', label='OxR (WT)')\n",
    "# w2, = twin1.plot(t, oxr_wt_c, '-', linewidth=4, color='black', label='OxR (WT)')\n",
    "# v41, = ax.plot(t, oxr_v45l/1e-6, '.', linewidth=4, color='purple', label='OxR (V45L)')\n",
    "# v42, = twin1.plot(t, oxr_v45l_c, '.', linewidth=4, color='purple', label='OxR (V45L)')\n",
    "# e1,  = ax.plot(t, oxr_e339k/1e-6, 'o', linewidth=4, color='magenta', label='OxR (E339K)')\n",
    "# e2,  = twin1.plot(t, oxr_e339k_c, 'o', linewidth=4, color='magenta', label='OxR (E339K)')\n",
    "# v1, = ax.plot(t, oxr_v281m/1e-6, '--', linewidth=4, color='red', label='OxR (V281M)')\n",
    "# v2, = twin1.plot(t, oxr_v281m_c, '--', linewidth=4, color='red', label='OxR (V281M)')\n",
    "\n",
    "l1, = ax.plot(t, oxr_l206v/1e-12, ':', linewidth=4, color='blue', label='OxR (L206V)')\n",
    "l2, = twin1.plot(t, oxr_l206v_c, ':', linewidth=4, color='blue', label='OxR (L206V)')\n",
    "p1, = ax.plot(t, oxr_p108a/1e-12, '-.', linewidth=4, color='green', label='OxR (P108A)')\n",
    "p2, = twin1.plot(t, oxr_p108a_c, '-.', linewidth=4, color='green', label='OxR (P108A)')\n",
    "w1, = ax.plot(t, oxr_wt/1e-12, '-', linewidth=4, color='black', label='OxR (WT)')\n",
    "w2, = twin1.plot(t, oxr_wt_c, '-', linewidth=4, color='black', label='OxR (WT)')\n",
    "v41, = ax.plot(t, oxr_v45l/1e-12, '.', linewidth=4, color='purple', label='OxR (V45L)')\n",
    "v42, = twin1.plot(t, oxr_v45l_c, '.', linewidth=4, color='purple', label='OxR (V45L)')\n",
    "e1,  = ax.plot(t, oxr_e339k/1e-12, 'o', linewidth=4, color='magenta', label='OxR (E339K)')\n",
    "e2,  = twin1.plot(t, oxr_e339k_c, 'o', linewidth=4, color='magenta', label='OxR (E339K)')\n",
    "v1, = ax.plot(t, oxr_v281m/1e-12, '--', linewidth=4, color='red', label='OxR (V281M)')\n",
    "v2, = twin1.plot(t, oxr_v281m_c, '--', linewidth=4, color='red', label='OxR (V281M)')\n",
    "\n",
    "\n",
    "\n",
    "# l1, = ax.plot(t, oxr_l206v/1e-9, ':', linewidth=4, color='blue', label='L206V')\n",
    "# l2, = twin1.plot(t, oxr_l206v_c, ':', linewidth=4, color='blue', label='L206V')\n",
    "# p1, = ax.plot(t, oxr_p108a/1e-9, '-.', linewidth=4, color='green', label='P108A')\n",
    "# p2, = twin1.plot(t, oxr_p108a_c, '-.', linewidth=4, color='green', label='P108A')\n",
    "# w1, = ax.plot(t, oxr_wt/1e-9, '-', linewidth=4, color='black', label='Wild-type')\n",
    "# w2, = twin1.plot(t, oxr_wt_c, '-', linewidth=4, color='black', label='Wild-type')\n",
    "# v41, = ax.plot(t, oxr_v45l/1e-9, '.', linewidth=4, color='purple', label='V45L')\n",
    "# v42, = twin1.plot(t, oxr_v45l_c, '.', linewidth=4, color='purple', label='V45L')\n",
    "# e1,  = ax.plot(t, oxr_e339k/1e-9, 'o', linewidth=4, color='magenta', label='E339K')\n",
    "# e2,  = twin1.plot(t, oxr_e339k_c, 'o', linewidth=4, color='magenta', label='E339K')\n",
    "# v1, = ax.plot(t, oxr_v281m/1e-9, '--', linewidth=4, color='red', label='V281M')\n",
    "# v2, = twin1.plot(t, oxr_v281m_c, '--', linewidth=4, color='red', label='V281M')\n",
    "\n",
    "\n",
    "\n",
    "#ax.set_xlim(0, 5)\n",
    "#ax.set_ylim(6, 12)\n",
    "#twin1.set_ylim(60000, 80000)\n",
    "\n",
    "\n",
    "ax.set_xlabel(\"Time (min)\", fontsize=18, fontweight='bold')\n",
    "#ax.set_xlabel(\"Time (min)\", fontsize=18, fontweight='bold')\n",
    "#ax.set_ylabel(\"[Bound OXTR Complex] ($\\mu$M)\", fontsize=18, fontweight='bold')\n",
    "ax.set_ylabel(\"[OXTR Complex] (pM)\", fontsize=18, fontweight='bold')\n",
    "twin1.set_ylabel(\"[OXTR Complex] (complexes/cell)\", fontsize=18, fontweight='bold')\n",
    "#ax.set_title(\"Tranfected HEK293 Cells\", fontsize=18, fontweight='bold')\n",
    "ax.set_yticks(np.arange(0, 0.4*1e+6, 0.025*1e+6))\n",
    "twin1.set_yticks(np.arange(0, 240000, 25000))\n",
    "\n",
    "#plt.yticks(fontsize=20)\n",
    "#ax.yaxis.label.set_color(p1.get_color('black'))\n",
    "#twin1.yaxis.label.set_color(p2.get_color('black'))\n",
    "#twin2.yaxis.label.set_color(p3.get_color())\n",
    "\n",
    "tkw = dict(size=5, width=2, labelsize=18)\n",
    "ax.tick_params(axis='both',  **tkw)\n",
    "twin1.tick_params(axis='both',  **tkw)\n",
    "# twin2.tick_params(axis='y', colors=p3.get_color(), **tkw)\n",
    "# ax.tick_params(axis='x', **tkw)\n",
    "ax.legend(handles=[l1,p1, w1, v41, e1, v1], fontsize=18, loc='center left', bbox_to_anchor=(1.3, 0.8))\n",
    "#ax.legend(handles=[l1,p1, w1, v41, e1, v1], fontsize=18)\n",
    "#plt.savefig(\"oxt_com_conc_hek_microm.jpg\", dpi=400, bbox_inches='tight')\n",
    "plt.savefig(\"oxtrc_hek_equil_1microm_pm.jpg\", dpi=400, bbox_inches='tight')\n",
    "#plt.savefig(\"oxt_com_conc_hek_60min.jpg\", dpi=400, bbox_inches='tight')\n",
    "#plt.savefig(\"oxt_com_conc_hek_hr.jpg\", dpi=400, bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0166700b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "# OXT and OXTR binding code for wild type and it's standard error\n",
    "\n",
    "\n",
    "import numpy as np\n",
    "from scipy.integrate import odeint\n",
    "import matplotlib.pyplot as plt\n",
    "import csv\n",
    "\n",
    "\n",
    "def oxtmodel(x, t):\n",
    "    \n",
    "    kon = 8.8e+6 # per molar per min (from gulliver thesis)\n",
    "    koff = 0.005 # per min (from gulliver thesis) \n",
    "    Av = 6e+23\n",
    "    V = 1e-12 # litre It is given as 14047 cubic micro meter \n",
    "    Div = V*Av  # dividend of the oxtr copies \n",
    "    oxt = x[0]\n",
    "    oxtr = x[1]\n",
    "    oxr = x[2]\n",
    "   \n",
    "    \n",
    "    doxtdt = -kon*oxt*(oxtr) + koff*oxr\n",
    "    doxtrdt = -kon*oxt*(oxtr) + koff*oxr\n",
    "    doxrdt = kon*oxt*(oxtr) -koff*oxr\n",
    "\n",
    "    return(doxtrdt, doxtrdt, doxrdt)\n",
    "\n",
    "\n",
    "initial_t = 0\n",
    "end_t = 2\n",
    "num = 100\n",
    "Av = 6e+23\n",
    "V = 1e-12 # litre It is HEK293 cells volume given as 1046 cubic micro meter in the paper\n",
    "Div = V*Av\n",
    "\n",
    "\n",
    "\n",
    "# initial condition for wild type mean, upper bound and lower bound\n",
    "#x0_wt = [1e-8, 2.38678e-9, 0]\n",
    "x0_wt = [1e-6, 2.54e-7, 0]\n",
    "x0_wtub = [1e-6, 2.89e-7, 0]\n",
    "x0_wtlb = [1e-6, 2.19e-7, 0]\n",
    "# initial condition for mutant V281M\n",
    "x0_v281m = [1e-6, 1.28e-7, 0]\n",
    "x0_v281mub = [1e-6, 1.46e-7, 0]\n",
    "x0_v281mlb = [1e-6, 1.11e-7, 0]\n",
    "# initial condition for mutant P108A\n",
    "x0_p108a = [1e-6, 3.1e-7, 0]\n",
    "x0_p108aub = [1e-6, 3.43e-7, 0]\n",
    "x0_p108alb = [1e-6, 2.75e-7, 0]\n",
    "# initial condition for mutant L206V\n",
    "x0_l206v = [1e-6, 3.55e-7, 0]\n",
    "x0_l206vub = [1e-6, 3.84e-7, 0]\n",
    "x0_l206vlb = [1e-6, 3.26e-7, 0]\n",
    "# initial condition for mutant V45L\n",
    "x0_v45l = [1e-6, 2.37e-7, 0]\n",
    "x0_v45lub = [1e-6, 2.64e-7, 0]\n",
    "x0_v45llb = [1e-6, 2.10e-7, 0]\n",
    "# initial condition for mutant E339K\n",
    "x0_e339k = [1e-6, 1.68e-7, 0]\n",
    "x0_e339kub = [1e-6, 1.91e-7, 0]\n",
    "x0_e339klb = [1e-6, 1.44e-7, 0]\n",
    "\n",
    "\n",
    "# time span\n",
    "t = np.linspace(initial_t, end_t, num)\n",
    "\n",
    "# ode integration for all types \n",
    "x_wt = odeint(oxtmodel,x0_wt,t)   \n",
    "x_wtub = odeint(oxtmodel,x0_wtub,t)   \n",
    "x_wtlb = odeint(oxtmodel,x0_wtlb,t) \n",
    "\n",
    "x_v281m = odeint(oxtmodel,x0_v281m,t)  \n",
    "x_v281mub = odeint(oxtmodel,x0_v281mub,t)   \n",
    "x_v281mlb = odeint(oxtmodel,x0_v281mlb,t)  \n",
    "\n",
    "x_p108a = odeint(oxtmodel,x0_p108a,t)   \n",
    "x_p108aub = odeint(oxtmodel,x0_p108aub,t)   \n",
    "x_p108alb = odeint(oxtmodel,x0_p108alb,t)\n",
    "\n",
    "x_l206v = odeint(oxtmodel,x0_l206v,t)   \n",
    "x_l206vub = odeint(oxtmodel,x0_l206vub,t)   \n",
    "x_l206vlb = odeint(oxtmodel,x0_l206vlb,t)  \n",
    "\n",
    "x_v45l = odeint(oxtmodel,x0_v45l,t)   \n",
    "x_v45lub = odeint(oxtmodel,x0_v45lub,t)   \n",
    "x_v45llb = odeint(oxtmodel,x0_v45llb,t) \n",
    "\n",
    "x_e339k = odeint(oxtmodel,x0_e339k,t)   \n",
    "x_e339kub = odeint(oxtmodel,x0_e339kub,t)   \n",
    "x_e339klb = odeint(oxtmodel,x0_e339klb,t)   \n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# solution extraction for wild type oxr complex\n",
    "oxt_wt = x_wt[:, 0]\n",
    "oxtr_wt = x_wt[:, 1]\n",
    "oxr_wt = x_wt[:, 2]\n",
    "\n",
    "oxt_wt_c = oxt_wt*Div\n",
    "oxtr_wt_c = oxtr_wt*Div\n",
    "oxr_wt_c = oxr_wt*Div\n",
    "\n",
    "# solution extraction for wt upper bound\n",
    "\n",
    "oxt_wtub = x_wtub[:, 0]\n",
    "oxtr_wtub = x_wtub[:, 1]\n",
    "oxr_wtub = x_wtub[:, 2]\n",
    "\n",
    "oxt_wtub_c = oxt_wtub*Div\n",
    "oxtr_wtub_c = oxtr_wtub*Div\n",
    "oxr_wtub_c = oxr_wtub*Div\n",
    "\n",
    "# solution extraction for wt lower bound\n",
    "\n",
    "oxt_wtlb = x_wtlb[:, 0]\n",
    "oxtr_wtlb = x_wtlb[:, 1]\n",
    "oxr_wtlb = x_wtlb[:, 2]\n",
    "\n",
    "oxt_wtlb_c = oxt_wtlb*Div\n",
    "oxtr_wtlb_c = oxtr_wtlb*Div\n",
    "oxr_wtlb_c = oxr_wtlb*Div\n",
    "\n",
    "# solution extraction for V281M \n",
    "oxt_v281m = x_v281m[:, 0]\n",
    "oxtr_v281m = x_v281m[:, 1]\n",
    "oxr_v281m = x_v281m[:, 2]\n",
    "\n",
    "oxt_v281m_c = oxt_v281m*Div\n",
    "oxtr_v281m_c = oxtr_v281m*Div\n",
    "oxr_v281m_c = oxr_v281m*Div\n",
    "\n",
    "# solution extraction for v281m upper bound\n",
    "\n",
    "oxt_v281mub = x_v281mub[:, 0]\n",
    "oxtr_v281mub = x_v281mub[:, 1]\n",
    "oxr_v281mub = x_v281mub[:, 2]\n",
    "\n",
    "oxt_v281mub_c = oxt_v281mub*Div\n",
    "oxtr_v281mub_c = oxtr_v281mub*Div\n",
    "oxr_v281mub_c = oxr_v281mub*Div\n",
    "\n",
    "# solution extraction for v281m lower bound\n",
    "\n",
    "oxt_v281mlb = x_v281mlb[:, 0]\n",
    "oxtr_v281mlb = x_v281mlb[:, 1]\n",
    "oxr_v281mlb = x_v281mlb[:, 2]\n",
    "\n",
    "oxt_v281mlb_c = oxt_v281mlb*Div\n",
    "oxtr_v281mlb_c = oxtr_v281mlb*Div\n",
    "oxr_v281mlb_c = oxr_v281mlb*Div \n",
    "\n",
    "\n",
    "# solution extraction for P108A \n",
    "oxt_p108a = x_p108a[:, 0]\n",
    "oxtr_p108a = x_p108a[:,1]\n",
    "oxr_p108a = x_p108a[:, 2]\n",
    "\n",
    "oxt_p108a_c = oxt_p108a*Div\n",
    "oxtr_p108a_c = oxtr_p108a*Div\n",
    "oxr_p108a_c = oxr_p108a*Div\n",
    "\n",
    "# solution extraction for p108a upper bound\n",
    "\n",
    "oxt_p108aub = x_p108aub[:, 0]\n",
    "oxtr_p108aub = x_p108aub[:,1]\n",
    "oxr_p108aub = x_p108aub[:, 2]\n",
    "\n",
    "oxt_p108aub_c = oxt_p108aub*Div\n",
    "oxtr_p108aub_c = oxtr_p108aub*Div\n",
    "oxr_p108aub_c = oxr_p108aub*Div\n",
    "\n",
    "# solution extraction for p108a lower bound\n",
    "\n",
    "oxt_p108alb = x_p108alb[:, 0]\n",
    "oxtr_p108alb = x_p108alb[:, 1]\n",
    "oxr_p108alb = x_p108alb[:, 2]\n",
    "\n",
    "oxt_p108alb_c = oxt_p108alb*Div\n",
    "oxtr_p108alb_c = oxtr_p108alb*Div\n",
    "oxr_p108alb_c = oxr_p108alb*Div\n",
    "\n",
    "# solution extraction for L206V \n",
    "oxt_l206v = x_l206v[:, 0]\n",
    "oxtr_l206v = x_l206v[:,1]\n",
    "oxr_l206v = x_l206v[:, 2]\n",
    "\n",
    "oxt_l206v_c = oxt_l206v*Div\n",
    "oxtr_l206v_c = oxtr_l206v*Div\n",
    "oxr_l206v_c = oxr_l206v*Div\n",
    "\n",
    "# solution extraction for l206v upper bound\n",
    "\n",
    "oxt_l206vub = x_l206vub[:, 0]\n",
    "oxtr_l206vub = x_l206vub[:,1]\n",
    "oxr_l206vub = x_l206vub[:, 2]\n",
    "\n",
    "oxt_l206vub_c = oxt_l206vub*Div\n",
    "oxtr_l206vub_c = oxtr_l206vub*Div\n",
    "oxr_l206vub_c = oxr_l206vub*Div\n",
    "\n",
    "# solution extraction for l206v lower bound\n",
    "\n",
    "oxt_l206vlb = x_l206vlb[:, 0]\n",
    "oxtr_l206vlb = x_l206vlb[:, 1]\n",
    "oxr_l206vlb = x_l206vlb[:, 2]\n",
    "\n",
    "oxt_l206vlb_c = oxt_l206vlb*Div\n",
    "oxtr_l206vlb_c = oxtr_l206vlb*Div\n",
    "oxr_l206vlb_c = oxr_l206vlb*Div\n",
    "\n",
    "\n",
    "# solution extraction for V45L \n",
    "oxt_v45l = x_v45l[:, 0]\n",
    "oxtr_v45l = x_v45l[:,1]\n",
    "oxr_v45l = x_v45l[:, 2]\n",
    "\n",
    "oxt_v45l_c = oxt_v45l*Div\n",
    "oxtr_v45l_c = oxtr_v45l*Div\n",
    "oxr_v45l_c = oxr_v45l*Div\n",
    "\n",
    "# solution extraction for v45l upper bound\n",
    "\n",
    "oxt_v45lub = x_v45lub[:, 0]\n",
    "oxtr_v45lub = x_v45lub[:,1]\n",
    "oxr_v45lub = x_v45lub[:, 2]\n",
    "\n",
    "oxt_v45lub_c = oxt_v45lub*Div\n",
    "oxtr_v45lub_c = oxtr_v45lub*Div\n",
    "oxr_v45lub_c = oxr_v45lub*Div\n",
    "\n",
    "# solution extraction for v45l lower bound\n",
    "\n",
    "oxt_v45llb = x_v45llb[:, 0]\n",
    "oxtr_v45llb = x_v45llb[:, 1]\n",
    "oxr_v45llb = x_v45llb[:, 2]\n",
    "\n",
    "oxt_v45llb_c = oxt_v45llb*Div\n",
    "oxtr_v45llb_c = oxtr_v45llb*Div\n",
    "oxr_v45llb_c = oxr_v45llb*Div\n",
    "\n",
    "# solution extraction for E339K \n",
    "oxt_e339k = x_e339k[:, 0]\n",
    "oxtr_e339k = x_e339k[:,1]\n",
    "oxr_e339k = x_e339k[:, 2]\n",
    "\n",
    "oxt_e339k_c = oxt_e339k*Div\n",
    "oxtr_e339k_c = oxtr_e339k*Div\n",
    "oxr_e339k_c = oxr_e339k*Div\n",
    "\n",
    "# solution extraction for e3312k upper bound\n",
    "\n",
    "oxt_e339kub = x_e339kub[:, 0]\n",
    "oxtr_e339kub = x_e339kub[:,1]\n",
    "oxr_e339kub = x_e339kub[:, 2]\n",
    "\n",
    "oxt_e339kub_c = oxt_e339kub*Div\n",
    "oxtr_e339kub_c = oxtr_e339kub*Div\n",
    "oxr_e339kub_c = oxr_e339kub*Div\n",
    "\n",
    "# solution extraction for e3312k lower bound\n",
    "\n",
    "oxt_e339klb = x_e339klb[:, 0]\n",
    "oxtr_e339klb = x_e339klb[:, 1]\n",
    "oxr_e339klb = x_e339klb[:, 2]\n",
    "\n",
    "oxt_e339klb_c = oxt_e339klb*Div\n",
    "oxtr_e339klb_c = oxtr_e339klb*Div\n",
    "oxr_e339klb_c = oxr_e339klb*Div\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_figheight(9)\n",
    "fig.set_figwidth(12)\n",
    "fig.subplots_adjust(right=0.5)\n",
    "\n",
    "\n",
    "twin1 = ax.twinx()\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "l1, = ax.plot(t, oxr_l206v/1e-12, ':', linewidth=4, color='blue', label='L206V')\n",
    "l2, = twin1.plot(t, oxr_l206v_c, ':', linewidth=4, color='blue', label='L206V')\n",
    "l3 = ax.fill_between(t, oxr_l206vub/1e-12, oxr_l206vlb/1e-12, color='lightblue', alpha=0.8)\n",
    "p1, = ax.plot(t, oxr_p108a/1e-12, '-.', linewidth=4, color='green', label='P108A')\n",
    "p2, = twin1.plot(t, oxr_p108a_c, '-.', linewidth=4, color='green', label='P108A')\n",
    "p3 = ax.fill_between(t, oxr_p108aub/1e-12, oxr_p108alb/1e-12,color='lightgreen', alpha=0.8)\n",
    "w1, = ax.plot(t, oxr_wt/1e-12, '-', linewidth=4, color='black', label='Wild-type')\n",
    "w2, = twin1.plot(t, oxr_wt_c, '-', linewidth=4, color='black', label='Wild-type')\n",
    "w3 = ax.fill_between(t, oxr_wtub/1e-12, oxr_wtlb/1e-12, color='lightgray', alpha=0.8)\n",
    "v41, = ax.plot(t, oxr_v45l/1e-12, '.', linewidth=4, color='purple', label='V45L')\n",
    "v42, = twin1.plot(t, oxr_v45l_c, '.', linewidth=4, color='purple', label='V45L')\n",
    "v43 = ax.fill_between(t, oxr_v45lub/1e-12, oxr_v45llb/1e-12, color='thistle', alpha=0.8)\n",
    "e1,  = ax.plot(t, oxr_e339k/1e-12, 'o', linewidth=4, color='magenta', label='E339K')\n",
    "e2,  = twin1.plot(t, oxr_e339k_c, 'o', linewidth=4, color='magenta', label='E339K')\n",
    "e3 = ax.fill_between(t, oxr_e339kub/1e-12, oxr_e339klb/1e-12, color= 'plum')\n",
    "v1, = ax.plot(t, oxr_v281m/1e-12, '--', linewidth=4, color='red', label='V281M')\n",
    "v2, = twin1.plot(t, oxr_v281m_c, '--', linewidth=4, color='red', label='V281M')\n",
    "v3 =  ax.fill_between(t, oxr_v281mub/1e-12, oxr_v281mlb/1e-12,color='lightpink', alpha=0.8)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "ax.set_xlabel(\"Time (min)\", fontsize=18, fontweight='bold')\n",
    "ax.set_ylabel(\"[OXTR Complex] (pM)\", fontsize=18, fontweight='bold')\n",
    "twin1.set_ylabel(\"[OXTR Complex] (complexes/cell)\", fontsize=18, fontweight='bold')\n",
    "ax.set_yticks([0,  50000,  100000,  150000, 200000, 250000, 300000, 350000, 400000])\n",
    "#ax.set_yticks([0,500,1000,1500,2000,2500,3050], fontsize=18, fontweight='bold')\n",
    "twin1.set_yticks([0,20000,40000,60000,80000,100000,120000,140000,160000,180000,200000,220000,242000])\n",
    "#twin1.set_yticks([0,5000,10000,15000,20000,25620], fontsize=18, fontweight='bold')\n",
    "#ax.set_yticks(np.arange(0, 3571.5, 500))\n",
    "#twin1.set_yticks(np.arange(0, 30001, 2000))\n",
    "\n",
    "#ax.yaxis.label.set_color(p1.get_color('black'))\n",
    "#twin1.yaxis.label.set_color(p2.get_color('black'))\n",
    "#twin2.yaxis.label.set_color(p3.get_color())\n",
    "# ax.set_yticks(np.arange(0, 0.4*1e+6, 0.025*1e+6))\n",
    "# twin1.set_yticks(np.arange(0, 240000, 25000))\n",
    "tkw = dict(size=4, width=1.5, labelsize=16)\n",
    "ax.tick_params(axis='both',  **tkw)\n",
    "twin1.tick_params(axis='both',  **tkw)\n",
    "\n",
    "\n",
    "#ax.legend(handles=[l1,p1, w1, v41, e1, v1], fontsize=18, loc='center left', bbox_to_anchor=(1.3, 0.8))\n",
    "\n",
    "#ax.legend(handles=[l1,p1, w1, v41, e1, v1], fontsize=18, loc='best')\n",
    "#plt.savefig(\"oxt_com_conc_myo_2min.jpg\", dpi=400, bbox_inches='tight')\n",
    "#plt.savefig(\"oxt_com_conc_myo_5min.jpg\", dpi=400, bbox_inches='tight')\n",
    "#plt.savefig(\"oxt_com_conc_myo_60min.jpg\", dpi=400, bbox_inches='tight')\n",
    "plt.savefig(\"oxtrc_hek_oxt_mircom_yaxis_pm.jpg\", dpi=400, bbox_inches='tight')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "    "
   ]
  }
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