Cells and Cancer in Python
import matplotlib.pyplot as plt import numpy as np # Plot 1: Order Parameter vs Time (S vs t) t = np.linspace(0, 10, 500) S = 1 / (1 + np.exp(-2 * (t - 5))) # sigmoid rise plt.figure() plt.plot(t, S) plt.title("Order Parameter S vs Time") plt.xlabel("Time (t)") plt.ylabel("Order Parameter (S)") plt.grid(True) plt.show() # Plot 2: Energy Collapse E = np.maximum(0, 1 - 0.1 * t**1.5) plt.figure() plt.plot(t, E, color='red') plt.title("Cellular Energy (E) Collapse Over Time") plt.xlabel("Time (t)") plt.ylabel("Energy (E)") plt.grid(True) plt.show() # Plot 3: Standing Wave Stability x = np.linspace(0, 2*np.pi, 500) standing_wave = np.sin(x) * np.cos(5 * x) plt.figure() plt.plot(x, standing_wave) plt.title("Standing Wave Pattern Around DNA") plt.xlabel("Distance") plt.ylabel("Amplitude") plt.grid(True) plt.show() # Plot 4: DNA Repair Rate vs Redox State redox = np.linspace(0, 1, 100) repair_rat...