Computational Biophysics – MCQs 50 Score: 0 Attempted: 0/50 Subscribe 1. Computational biophysics primarily involves: (A) Experimental microscopy (B) Mathematical modeling and simulations of biological systems (C) Chemical synthesis (D) Nuclear fission 2. Molecular dynamics (MD) simulations are based on: (A) Newton’s equations of motion (B) Quantum tunneling (C) Relativity theory (D) Thermodynamic cycles 3. In computational biophysics, force fields describe: (A) Electromagnetic waves in tissues (B) Potential energy functions of biomolecules (C) Nuclear decay probabilities (D) Radiation dose distributions 4. A common software used for molecular dynamics simulations is: (A) MATLAB (B) GROMACS (C) AutoCAD (D) SPSS 5. The primary purpose of Monte Carlo simulations in biophysics is: (A) Random sampling to solve statistical problems (B) Imaging biomolecules (C) Producing X-rays (D) Synthesizing proteins 6. Quantum mechanics is essential in computational biophysics for studying: (A) Large tissue dynamics (B) Electronic structure of molecules (C) Macroscopic blood flow (D) Gravitational effects in cells 7. Protein folding simulations help in understanding: (A) X-ray scattering (B) 3D structure formation of proteins (C) Cell signaling pathways (D) Radiation therapy 8. Coarse-grained simulations are used to: (A) Capture fine atomic details (B) Simplify biomolecular systems by grouping atoms (C) Increase radiation exposure (D) Replace MRI scans 9. All-atom simulations represent: (A) Only backbone atoms (B) Every atom in the molecular system (C) Only hydrogen atoms (D) Only oxygen atoms 10. The time step in molecular dynamics simulations is usually in the range of: (A) Seconds (B) Nanoseconds to microseconds (C) Femtoseconds (D) Minutes 11. The Lennard-Jones potential is commonly used to describe: (A) Nuclear fission (B) Non-bonded interactions between atoms (C) Heat conduction in cells (D) Membrane transport 12. Root Mean Square Deviation (RMSD) in simulations is used to measure: (A) Protein size (B) Conformational stability over time (C) Membrane potential (D) Radiation absorption 13. Normal mode analysis (NMA) is applied to study: (A) High-energy radiation (B) Large-scale collective motions in biomolecules (C) Cell division (D) MRI signals 14. Molecular docking is used to predict: (A) DNA replication (B) Interaction of a ligand with a protein binding site (C) Blood flow patterns (D) Radiation exposure levels 15. The Poisson–Boltzmann equation is applied in computational biophysics to: (A) Model membrane thickness (B) Calculate electrostatic interactions in biomolecules (C) Estimate radiation doses (D) Simulate ultrasound scattering 16. A widely used visualization tool for molecular simulations is: (A) VMD (Visual Molecular Dynamics) (B) Photoshop (C) AutoCAD (D) Illustrator 17. The Metropolis algorithm is associated with: (A) Protein crystallography (B) Monte Carlo simulations (C) MRI imaging (D) PET scanning 18. Enhanced sampling methods in molecular simulations are developed to: (A) Speed up quantum tunneling (B) Overcome energy barriers and explore conformational space (C) Measure radiation doses (D) Improve ultrasound imaging 19. Brownian dynamics simulations are particularly useful for studying: (A) Ion transport and diffusion (B) Nuclear decay (C) Gravitational forces (D) Light absorption 20. The main limitation of molecular dynamics is: (A) Cannot simulate molecules (B) Short timescales compared to biological processes (C) Excessive radiation risk (D) Inaccurate quantum models 21. Hybrid QM/MM methods combine: (A) MRI and CT imaging (B) Quantum mechanics and molecular mechanics (C) Neutrons and protons (D) Classical mechanics and thermodynamics 22. Computational biophysics is applied in drug discovery through: (A) Predicting molecular binding and interactions (B) Radiation therapy (C) Ultrasound scans (D) PET imaging 23. A Markov state model (MSM) is useful for: (A) Modeling transitions between protein conformations (B) Determining MRI signals (C) Predicting ionizing radiation levels (D) Measuring blood pressure 24. Replica exchange molecular dynamics (REMD) is a technique to: (A) Measure radiation dose (B) Improve sampling by running simulations at different temperatures (C) Capture MRI signals (D) Replace experimental crystallography 25. Free energy perturbation (FEP) methods are used to: (A) Predict binding free energy differences (B) Simulate CT scans (C) Estimate ultrasound frequencies (D) Detect radiation sources 26. Molecular dynamics trajectories are analyzed to study: (A) Motion of atoms and molecules over time (B) Nuclear decay products (C) X-ray beam intensity (D) Sound wave reflection 27. Energy minimization in simulations is performed to: (A) Increase computational time (B) Reduce steric clashes in biomolecular structures (C) Generate MRI signals (D) Amplify radiation 28. Protein–ligand binding affinity prediction relies on: (A) X-ray scattering (B) Docking and free energy calculations (C) Ultrasound absorption (D) Radiation exposure 29. Machine learning in computational biophysics is applied to: (A) Predict biomolecular properties and behaviors (B) Generate X-rays (C) Control MRI signals (D) Monitor radiation doses 30. A Ramachandran plot provides information on: (A) MRI field strength (B) Protein backbone dihedral angles (C) Radiation absorption curves (D) Ultrasound wave intensity 31. The particle-mesh Ewald (PME) method is used for: (A) Simulating ultrasound reflections (B) Efficient calculation of long-range electrostatic interactions (C) Estimating MRI gradients (D) Reducing radiation 32. In computational protein dynamics, hydrogen bonds are monitored to: (A) Predict tumor growth (B) Assess structural stability (C) Measure blood pressure (D) Generate radiation 33. Umbrella sampling is a technique used in: (A) Ultrasound imaging (B) Free energy calculations along reaction coordinates (C) MRI field mapping (D) Radiation exposure analysis 34. Computational biophysics contributes to structural biology by: (A) Replacing X-rays with neutrons (B) Complementing experimental data with simulations (C) Eliminating radiation risks (D) Removing the need for microscopes 35. The advantage of coarse-grained models is: (A) Higher detail at atomic level (B) Ability to simulate larger systems and longer timescales (C) Increased computational cost (D) Accurate electronic interactions 36. In computational biophysics, PCA (Principal Component Analysis) is used to: (A) Analyze large-scale motions in biomolecules (B) Generate X-rays (C) Measure magnetic fields (D) Predict radiation dose 37. A transition pathway of a protein can be studied using: (A) Normal mode analysis (B) String methods and pathway sampling (C) MRI spectroscopy (D) Gamma-ray analysis 38. Computational electrophysiology simulations model: (A) Electric fields across biological membranes (B) Nuclear decay (C) Blood circulation (D) MRI gradients 39. Force field parameters are generally derived from: (A) Experimental data and quantum calculations (B) PET imaging (C) Ultrasound scans (D) CT images 40. Water models in simulations (e.g., TIP3P) are used to: (A) Model ionizing radiation (B) Represent solvent environment (C) Measure blood oxygenation (D) Amplify MRI signals 41. The Boltzmann distribution is fundamental in simulations for: (A) Predicting population of energy states (B) X-ray diffraction (C) MRI scanning (D) Ultrasound imaging 42. Protein–DNA interactions can be studied by: (A) Molecular docking and dynamics (B) X-ray scattering only (C) Ultrasound resonance (D) Radiation therapy 43. Which algorithm is commonly used for time integration in molecular dynamics? (A) Verlet algorithm (B) Metropolis–Hastings (C) Newton–Raphson (D) Gauss–Seidel 44. In biomolecular simulations, periodic boundary conditions are used to: (A) Minimize computational artifacts in finite systems (B) Amplify MRI signals (C) Measure radiation dose (D) Simulate ultrasound beams 45. Computational biophysics helps in personalized medicine by: (A) Simulating patient-specific biomolecular interactions (B) Producing radiation therapy beams (C) Controlling ultrasound frequency (D) Generating MRI gradients 46. The generalized Born model is used to approximate: (A) Protein density (B) Solvent effects in biomolecular simulations (C) Nuclear forces (D) MRI magnetic field 47. The time complexity of molecular dynamics simulations increases with: (A) Square of the number of particles (B) Logarithm of system size (C) Radiation intensity (D) Ultrasound amplitude 48. GPU acceleration in computational biophysics is used to: (A) Increase simulation speed (B) Replace X-rays (C) Generate ultrasound (D) Amplify radiation 49. Elastic network models (ENM) are used to study: (A) Collective motions in large biomolecules (B) Radiation therapy planning (C) MRI pulse sequences (D) Ultrasound attenuation 50. Computational biophysics integrates: (A) Physics, chemistry, mathematics, and computer science to study biomolecules (B) Radiation, ultrasound, and MRI (C) Blood flow and respiration (D) Nuclear fusion and fission Molecular Biophysics – MCQsCellular Biophysics – MCQsMembrane Biophysics – MCQsNeurobiophysics – MCQsRadiation Biophysics – MCQsMedical Biophysics – MCQsComputational Biophysics – MCQsStructural Biophysics – MCQsBiophysical Chemistry – MCQsBioenergetics – MCQsBiomechanics – MCQsSystems Biophysics – MCQsBiomolecular Interactions – MCQsBiophysical Methods & Instrumentation – MCQsQuantum Biophysics – MCQsThermodynamics & Statistical Mechanics in Biology – MCQsBiophysics of Macromolecules – MCQs Electrophysiology – MCQsPhotobiophysics – MCQsNanobiophysics – MCQs