{ "cells": [ { "cell_type": "markdown", "id": "5fc8df5b", "metadata": {}, "source": [ "### OXT - OXTR binding model\n" ] }, { "cell_type": "raw", "id": "58fc103a", "metadata": {}, "source": [ "Author: Preeti Dubey\n", "Title: The simulations for Variant V281M OXTR complex formation with increasing OXT in myometrial cells " ] }, { "cell_type": "code", "execution_count": 1, "id": "cec9cdc0", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from scipy.integrate import odeint\n", "import csv\n", "\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "c7fb474e", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 864x576 with 3 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "def oxtmodel(x, t):\n", " \n", " kon = 6.8e+5 # per molar per min (from Phaneuf paper)\n", " koff = 0.0011 # per min (from Phaneuf paper)\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", "# oxtr conc is 2000 copies/cell\n", "# we need to get the molar concetration of oxtr in mol/litre\n", "# conc. = N/V = 2000/1.4e-11\n", "# conc = 1428e+11\n", "# molar concentration c = conc/NA = 1428e+11/6e+23 mol/L = 2.38e-10 mol/L\n", "# time span\n", "initial_t = 0\n", "end_t = 10\n", "num = 1000\n", "\n", "t = np.linspace(initial_t, end_t, num)\n", "t1 = np.linspace(initial_t, 6, num)\n", "# initial condition for wild type \n", "x0_wt = [1e-6, 1.678e-9, 0]\n", "\n", "# initial condition for mutants V281M\n", "#x0_v281m = [3.23e-8, 7.4877e-10, 0] cocentration required for 2 mins\n", "x01_v281m = [1e-6, 7.4877e-10, 0]\n", "x02_v281m = [1.2e-6, 7.4877e-10, 0]\n", "x03_v281m = [1.5e-6, 7.4877e-10, 0]\n", "x04_v281m = [2.3e-6, 7.4877e-10, 0] # 2 min activation\n", "x05_v281m = [2.5e-6, 7.4877e-10, 0] # 5 mins activation\n", "x06_v281m = [3.3e-6, 7.4877e-10, 0] \n", "x07_v281m = [4.2e-6, 7.4877e-10, 0] # equilibrium activation\n", "x08_v281m = [6e-6, 7.4877e-10, 0]\n", "\n", "\n", "\n", "\n", "\n", "# ode integration for all types \n", "x_wt = odeint(oxtmodel,x0_wt,t) \n", "x1_v281m = odeint(oxtmodel,x01_v281m,t) \n", "x2_v281m = odeint(oxtmodel,x02_v281m,t) \n", "x3_v281m = odeint(oxtmodel,x03_v281m,t) \n", "x4_v281m = odeint(oxtmodel,x04_v281m,t) \n", "x5_v281m = odeint(oxtmodel,x05_v281m,t) \n", "x6_v281m = odeint(oxtmodel,x06_v281m,t) \n", "x7_v281m = odeint(oxtmodel,x07_v281m,t) \n", "x8_v281m = odeint(oxtmodel,x08_v281m,t) \n", "\n", "# Volume and avagadro's number \n", "Av = 6e+23\n", "V = 1.4e-11 # litre It is given as 14047 cubic micro meter \n", "Div = V*Av\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", "oxt1_v281m = x1_v281m[:, 0]\n", "oxtr1_v281m = x1_v281m[:, 1]\n", "oxr1_v281m = x1_v281m[:, 2]\n", "\n", "oxt1_v281m_c = oxt1_v281m*Div\n", "oxtr1_v281m_c = oxtr1_v281m*Div\n", "oxr1_v281m_c = oxr1_v281m*Div\n", "\n", "# solution extraction for mutant V281M\n", "\n", "oxt2_v281m = x2_v281m[:, 0]\n", "oxtr2_v281m = x2_v281m[:, 1]\n", "oxr2_v281m = x2_v281m[:, 2]\n", "\n", "oxt2_v281m_c = oxt2_v281m*Div\n", "oxtr2_v281m_c = oxtr2_v281m*Div\n", "oxr2_v281m_c = oxr2_v281m*Div\n", "\n", "# solution extraction for mutant V281M\n", "\n", "oxt3_v281m = x3_v281m[:, 0]\n", "oxtr3_v281m = x3_v281m[:, 1]\n", "oxr3_v281m = x3_v281m[:, 2]\n", "\n", "oxt3_v281m_c = oxt3_v281m*Div\n", "oxtr3_v281m_c = oxtr3_v281m*Div\n", "oxr3_v281m_c = oxr3_v281m*Div\n", "\n", "# solution extraction for mutant V281M\n", "\n", "oxt4_v281m = x4_v281m[:, 0]\n", "oxtr4_v281m = x4_v281m[:, 1]\n", "oxr4_v281m = x4_v281m[:, 2]\n", "\n", "oxt4_v281m_c = oxt4_v281m*Div\n", "oxtr4_v281m_c = oxtr4_v281m*Div\n", "oxr4_v281m_c = oxr4_v281m*Div\n", "\n", "# solution extraction for mutant V281M\n", "\n", "oxt5_v281m = x5_v281m[:, 0]\n", "oxtr5_v281m = x5_v281m[:, 1]\n", "oxr5_v281m = x5_v281m[:, 2]\n", "\n", "oxt5_v281m_c = oxt5_v281m*Div\n", "oxtr5_v281m_c = oxtr5_v281m*Div\n", "oxr5_v281m_c = oxr5_v281m*Div\n", "\n", "# solution extraction for mutant V281M\n", "\n", "oxt6_v281m = x6_v281m[:, 0]\n", "oxtr6_v281m = x6_v281m[:, 1]\n", "oxr6_v281m = x6_v281m[:, 2]\n", "\n", "oxt6_v281m_c = oxt6_v281m*Div\n", "oxtr6_v281m_c = oxtr6_v281m*Div\n", "oxr6_v281m_c = oxr6_v281m*Div\n", "\n", "# solution extraction for mutant V281M\n", "\n", "oxt7_v281m = x7_v281m[:, 0]\n", "oxtr7_v281m = x7_v281m[:, 1]\n", "oxr7_v281m = x7_v281m[:, 2]\n", "\n", "oxt7_v281m_c = oxt7_v281m*Div\n", "oxtr7_v281m_c = oxtr7_v281m*Div\n", "oxr7_v281m_c = oxr7_v281m*Div\n", "\n", "# solution extraction for mutant V281M\n", "\n", "oxt8_v281m = x8_v281m[:, 0]\n", "oxtr8_v281m = x8_v281m[:, 1]\n", "oxr8_v281m = x8_v281m[:, 2]\n", "\n", "oxt8_v281m_c = oxt8_v281m*Div\n", "oxtr8_v281m_c = oxtr8_v281m*Div\n", "oxr8_v281m_c = oxr8_v281m*Div\n", "\n", "\n", "\n", "\n", "## OXT binding code for mutants to plot as copies per cell and nM both\n", "\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", "# wild type plot for oxtrc\n", "b1, = ax.plot(t, oxr_wt/1e-6, '-', linewidth=4, color='black', label='WT (1 $\\mu$M OXT)')\n", "b11, = twin1.plot(t, oxr_wt_c, '-', linewidth=4, color='black', label='WT (1 $\\mu$M OXT)')\n", "\n", "# V281M plot for 10 nm OXT\n", "r2, = ax.plot(t, oxr1_v281m/1e-6, '-', linewidth=4, color='red', label='V281M (1 $\\mu$M OXT)')\n", "r22, = twin1.plot(t, oxr1_v281m_c, '-', linewidth=4, color='red', label='V281M (1 $\\mu$M OXT)')\n", "\n", "#V281M plot for 12 nm OXT\n", "# bl1,= ax.plot(t/60, oxr2_v281m/1e-9, '-', linewidth=4, color='blue', label='V281M (12 nM OXT)')\n", "# bl2,= twin1.plot(t/60, oxr2_v281m_c, '-', linewidth=4, color='blue', label='V281M (12 nM OXT)')\n", "\n", "# V281M plot for 15 nm OXT\n", "g1, = ax.plot(t, oxr3_v281m/1e-6, '-', linewidth=4, color='green', label='V281M (1.5 $\\mu$M OXT)')\n", "g11, = twin1.plot(t, oxr3_v281m_c, '-', linewidth=4, color='green', label='V281M (1.5 $\\mu$M OXT)')\n", "\n", "# # V281M plot for 20 nm OXT\n", "# p1, = ax.plot(t/60, oxr4_v281m/1e-9, '-', linewidth=4, color='magenta', label='V281M (23 nM OXT)')\n", "# p11, = twin1.plot(t/60, oxr4_v281m_c, '-', linewidth=4, color='magenta', label='V281M (23 nM OXT)')\n", "\n", "#V281M plot for 32 nm OXT\n", "m1, = ax.plot(t, oxr5_v281m/1e-6, '-', linewidth=4, color='purple', label='V281M (2.5 $\\mu$M OXT)')\n", "m11, = twin1.plot(t, oxr5_v281m_c, '-', linewidth=4, color='purple', label='V281M (2.5 $\\mu$M OXT)')\n", "\n", "\n", "# #V281M plot for 33 nM OXT\n", "# c1, = ax.plot(t/60, oxr6_v281m/1e-9, '-', linewidth=4, color='cyan', label='V281M (33 nM OXT)')\n", "# c11, = twin1.plot(t/60, oxr6_v281m_c, '-', linewidth=4, color='cyan', label='V281M (33 nM OXT)')\n", "\n", "#V281M plot for 47 nM OXT\n", "\n", "o1, = ax.plot(t, oxr7_v281m/1e-6, '-', linewidth=4, color='orange', label='V281M (4.5 $\\mu$M OXT)')\n", "o11, = twin1.plot(t, oxr7_v281m_c, '-', linewidth=4, color='orange', label='V281M (4.5 $\\mu$M OXT)')\n", "\n", "#V281M plot for 60 nM OXT\n", "# pi1,= ax.plot(t/60, oxr8_v281m/1e-9, '-', linewidth=4, color='pink', label='V281M (60 nM OXT)')\n", "# pi11,= twin1.plot(t/60, oxr8_v281m_c, '-', linewidth=4, color='pink', label='V281M (60 nM OXT)')\n", "\n", "\n", "ax.set_xlabel(\"Time (min)\", fontsize=18, fontweight='bold')\n", "ax.set_ylabel(\"[OXTR Complex] ($\\mu$M)\", fontsize=18, fontweight='bold')\n", "twin1.set_ylabel(\"[OXTR Complex] (complexes/cell)\", fontsize=18, fontweight='bold')\n", "#twin2.set_ylabel(\"OXTR Conc. (copies/cell)\", fontsize=14)\n", "ax.set_yticks([0.25e-3, 0.5e-3, 0.75e-3, 1e-3, 1.25e-3, 1.5e-3, 1.75e-3])\n", "#ax.set_yticks(fontsize=14, fontweight='bold')\n", "#twin1.set_yticks(fontsize=14, fontweight='bold')\n", "\n", "# # # Create the inset axis\n", "#inset1_ax = ax.inset_axes([1.52, 0.55, 0.6, 0.43])\n", "inset2_ax = ax.inset_axes([1.55, 0.15, 0.6, 0.43])\n", "\n", "\n", "#insettwin1 = inset1_ax.twinx()\n", "insettwin2 = inset2_ax.twinx()\n", "\n", "\n", "# wild type plot for oxtrc\n", "b22, = inset2_ax.plot(t, oxr_wt/1e-6, '-', linewidth=4, color='black', label='WT (1 $\\mu$M OXT)')\n", "bt2, = insettwin2.plot(t, oxr_wt_c, '-', linewidth=4, color='black', label='WT (1 $\\mu$M OXT)')\n", "\n", "# V281M plot for 10 nm OXT\n", "r22, = inset2_ax.plot(t, oxr1_v281m/1e-6, '-', linewidth=4, color='red', label='V281M (1 $\\mu$M OXT)')\n", "rt2, = insettwin2.plot(t, oxr1_v281m_c, '-', linewidth=4, color='red', label='V281M (1 $\\mu$M OXT)')\n", "\n", "\n", "# V281M plot for 15 nm OXT\n", "g22, = inset2_ax.plot(t, oxr3_v281m/1e-6, '-', linewidth=4, color='green', label='V281M (1.5 $\\mu$M OXT)')\n", "gt2, = insettwin2.plot(t, oxr3_v281m_c, '-', linewidth=4, color='green', label='V281M (1.5 $\\mu$M OXT)')\n", "\n", "\n", "#V281M plot for 32 nm OXT\n", "m22, = inset2_ax.plot(t, oxr5_v281m/1e-6, '-', linewidth=4, color='purple', label='V281M (2.5 $\\muM$ OXT)')\n", "mt2, = insettwin2.plot(t, oxr5_v281m_c, '-', linewidth=4, color='purple', label='V281M (2.5 $\\muM$ OXT)')\n", "\n", "\n", "\n", "#V281M plot for 47 nM OXT\n", "\n", "O22, = inset2_ax.plot(t, oxr7_v281m/1e-6, '-', linewidth=4, color='orange', label='V281M (4.5 $\\mu$M OXT)')\n", "Ot2, = insettwin2.plot(t, oxr7_v281m_c, '-', linewidth=4, color='orange', label='V281M (4.5 $\\mu$M OXT)')\n", "\n", "# # # Set the limits and formatting of the inset2 axis\n", "inset2_ax.set_xlim(0.0, 1)\n", "inset2_ax.set_ylim(0, 0.001)\n", "insettwin2.set_ylim(0, 8400)\n", "inset2_ax.set_xlabel(\"Time (min)\", fontsize=18, fontweight='bold')\n", "ax.set_yticks([0.25e-3, 0.5e-3, 0.75e-3, 1e-3, 1.25e-3, 1.5e-3, 1.75e-3])\n", "\n", "tkw = dict(size=8, width=2, labelsize=18)\n", "ax.tick_params(axis='both', **tkw)\n", "twin1.tick_params(axis='both', **tkw)\n", "\n", "\n", "# Set your custom tick positions\n", "custom_ticks = [0, 0.2, 0.4, 0.6, 0.8, 1]\n", "\n", "# Set the ticks on the x-axis (assuming it's the x-axis)\n", "\n", "insettwin2.set_xticks(custom_ticks)\n", "# Set properties for the ticks and tick labels using tkw2\n", "tkw2 = dict(size=8, width=2, labelsize=18)\n", "inset2_ax.tick_params(axis='both', **tkw2)\n", "\n", "#tkw2 = dict(size=8, width=2, labelsize=18)\n", "#inset1_ax.tick_params(axis='both', **tkw2)\n", "inset2_ax.tick_params(axis='both', **tkw2)\n", "#insettwin1.tick_params(axis='both', **tkw2)\n", "insettwin2.tick_params(axis='both', **tkw2)\n", "ax.legend(handles=[b1, r2, g1, m1, o1], fontsize=16, loc= 'best') #loc=(1.25, 0.0005)\n", "#plt.text(0.01, 50, '$y=x^3$', fontsize=22, bbox=dict(facecolor='red', alpha=0.5))\n", "plt.savefig(\"oxtrc_dose_v281m_wt_v1.jpg\", dpi=400, bbox_inches='tight')\n", "\n", "plt.show()\n", "\n", "\n", " " ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 5 }