Question: import subprocessimport osimport tempfileimport matplotlib.pyplot as plt# Define the protein PDB fileprotein _ file = / Users / shreyyadav / Downloads / group _

import subprocessimport osimport tempfileimport matplotlib.pyplot as plt# Define the protein PDB fileprotein_file ="/Users/shreyyadav/Downloads/group_14_biop_SHREY_YADAV_2022483, SOURABH_2022507, MD_KAIF_2022289, BHASKAR KASHYAP_2022137, SATKEERAT SINGH KHOKHAR 2022459/all_pdb_files/7l6k.pdb"# Define MDP files with updated pathsmdp_files =["em.mdp","nvt.mdp","npt.mdp","md.mdp"]# GROMACS executable pathgmx_path ="/Users/shreyyadav/Downloads/gromacs_install/bin/gmx"# Function to set up GROMACS environmentdef setup_gmx_environment(): try: subprocess.run([gmx_path, "--version"], check=True) except FileNotFoundError: print("GROMACS not found in the system.") raise except subprocess.CalledProcessError: print("GROMACS command failed to run.") raise# Function to run MD simulation for a single proteindef run_simulation(protein_file): try: # Ensure GROMACS environment is set up setup_gmx_environment() # Create a temporary directory for the simulation with tempfile.TemporaryDirectory() as tmpdir: print(f"Working in directory: {tmpdir}") os.chdir(tmpdir) # Convert PDB to GROMACS format subprocess.run([gmx_path, "pdb2gmx","-f", protein_file, "-o", "processed.gro", "-water", "tip3p"], check=True) # Define box and add water subprocess.run([gmx_path, "editconf", "-f", "processed.gro", "-o", "box.gro", "-c","-d","1.0","-bt", "cubic"], check=True) subprocess.run([gmx_path, "solvate", "-cp", "box.gro", "-cs","spc216.gro", "-o", "solvated.gro", "-p", "topol.top"], check=True) # Add ions subprocess.run([gmx_path, "grompp", "-f", mdp_files[0],"-c", "solvated.gro", "-p", "topol.top", "-o", "ions.tpr"], check=True) subprocess.run([gmx_path, "genion", "-s", "ions.tpr","-o", "neutralized.gro", "-p", "topol.top", "-pname", "NA","-nname", "CL","-neutral"], check=True) # Energy minimization subprocess.run([gmx_path, "grompp", "-f", mdp_files[0],"-c", "neutralized.gro", "-p", "topol.top", "-o","em.tpr"], check=True) subprocess.run([gmx_path, "mdrun", "-v","-deffnm", "em"], check=True) # NVT equilibration subprocess.run([gmx_path, "grompp", "-f", mdp_files[1],"-c","em.gro", "-r","em.gro", "-p", "topol.top", "-o","nvt.tpr"], check=True) subprocess.run([gmx_path, "mdrun", "-v","-deffnm", "nvt"], check=True) # NPT equilibration subprocess.run([gmx_path, "grompp", "-f", mdp_files[2],"-c","nvt.gro", "-r","nvt.gro", "-p", "topol.top", "-o","npt.tpr"], check=True) subprocess.run([gmx_path, "mdrun", "-v","-deffnm", "npt"], check=True) # 1ns Production MD simulation subprocess.run([gmx_path, "grompp", "-f", mdp_files[3],"-c","npt.gro", "-r","npt.gro", "-p", "topol.top", "-o","md.tpr"], check=True) subprocess.run([gmx_path, "mdrun", "-v","-deffnm", "md"], check=True) # Analysis of the results analyze_results(tmpdir) except Exception as e: print(f"Error running simulation for {protein_file}: {e}") os.chdir("..")# Function to analyze the results and generate the required plotsdef analyze_results(work_dir): os.chdir(work_dir) # Energy Minimization Plot subprocess.run([gmx_path, "energy", "-f","em.edr", "-o","em_energy.xvg"], input="Potential
", text=True, check=True) # Plot RMSD (Root Mean Square Deviation) of protein backbone subprocess.run([gmx_path, "rms","-s","md.tpr","-f","md.xtc","-o","rmsd.xvg","-tu","ns"], input="4
4
", text=True, check=True) # Plot Radius of Gyration (Rg) subprocess.run([gmx_path, "gyrate", "-s","md.tpr","-f","md.xtc","-o","rg.xvg"], check=True) # Plot Temperature, Pressure, and Density subprocess.run([gmx_path, "energy", "-f","md.edr", "-o", "temperature.xvg"], input="Temperature
", text=True, check=True) subprocess.run([gmx_path, "energy", "-f","md.edr", "-o", "pressure.xvg"], input="Pressure
", text=True, check=True) subprocess.run([gmx_path, "energy", "-f","md.edr", "-o", "density.xvg"], input="Density
", text=True, check=True) # Plotting the data plot_data() os.chdir("..")# Function to plot the graphsdef plot_data(): # Plot RMSD plt.figure() data = read_xvg_file("rmsd.xvg") plt.plot(data[0], data[1]) plt.xlabel('Time (ns)') plt.ylabel('RMSD (nm)') plt.title('RMSD of Protein Backbone') plt.savefig('rmsd_plot.png') # Plot Rg (Radius of Gyration) plt.figure() data = read_xvg_file("rg.xvg") plt.plot(data[0], data[1]) plt.xlabel('Time (ns)') plt.ylabel('Rg (nm)') plt.title('Radius of Gyration (Rg)') plt.savefig('rg_plot.png') # Plot Temperature plt.figure() data = read_xvg_file("temperature.xvg") plt.plot(data[0], data[1]) plt.xlabel('Time (ns)') plt.ylabel('Temperature (K)') plt.title('Temperature Fluctuations') plt.savefig('temperature_plot.png') # Plot Pressure plt.figure() data = read_xvg_file("pressure.xvg") plt.plot(data[0], data[1]) plt.xlabel('Time (ns)') plt.ylabel('Pressure (bar)') plt.title('Pressure Fluctuations') plt.savefig('pressure_plot.png') # Plot Density plt.figure() data = read_xvg_file("density.xvg") plt.plot(data[0], data[1]) plt.xlabel('Time (ns)') plt.ylabel('Density (kg/m^3)') plt.title('Density Fluctuations') plt.savefig('density_plot.png') plt.show()# Helper function to read .xvg data filesdef read_xvg_file(filename): x, y =[],[] with open(filename,'r') as f: for line in f: if not line.startswith(("#","@")): columns = line.split() x.append(float(columns[0])) y.append(float(columns[1])) return x, y# Run simulation for the given protein filerun_simulation(protein_file) please help me reduce the runtime for this code

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