Systems Biophysics – MCQs 50 Score: 0 Attempted: 0/50 Subscribe 1. Systems biophysics primarily focuses on: (A) Isolated molecules only (B) Interactions and dynamics of biological systems as a whole (C) Genetic mutations alone (D) Only structural biology 2. Which approach is central to systems biophysics? (A) Reductionist approach (B) Holistic and integrative approach (C) Purely descriptive approach (D) Empirical chemistry only 3. Systems biophysics often uses: (A) Network models (B) Atomic orbital diagrams (C) DNA sequencing only (D) Purely thermodynamic tables 4. Feedback loops in systems biophysics help regulate: (A) Random noise (B) Stability and homeostasis (C) Radioactivity (D) Heat transfer 5. Positive feedback usually results in: (A) Stability (B) Amplification of signals (C) Reduction of activity (D) Random fluctuations only 6. Negative feedback usually results in: (A) Amplification of noise (B) Stability and regulation (C) Signal destruction (D) Energy loss only 7. Which mathematical tool is widely applied in systems biophysics? (A) Boolean algebra (B) Differential equations (C) Game theory (D) Set theory 8. A systems-level property that cannot be explained by individual parts alone is called: (A) Randomness (B) Emergence (C) Noise (D) Mutation 9. The study of oscillatory biological processes (e.g., circadian rhythms) falls under: (A) Static biophysics (B) Systems biophysics (C) Molecular mechanics (D) Classical chemistry 10. Homeostasis in living systems is an example of: (A) Open-loop control (B) Feedback regulation (C) Random fluctuation (D) Molecular rigidity 11. In systems biophysics, robustness refers to: (A) The ability to resist mutations or perturbations (B) Weak stability (C) Complete fragility (D) Noise amplification 12. Noise in biological systems often originates from: (A) Thermal fluctuations and molecular randomness (B) Perfect synchronization (C) Strong rigidity (D) Zero entropy 13. Which area closely integrates with systems biophysics? (A) Systems biology (B) Classical geology (C) Nuclear engineering (D) Astronomy 14. In gene regulatory networks, nodes represent: (A) Proteins or genes (B) Forces (C) Atomic orbitals (D) Membrane pores 15. Systems biophysics often studies biological processes as: (A) Independent linear events (B) Nonlinear dynamic systems (C) Random noise (D) Static chemical bonds 16. Chaos theory in biophysics is applied to: (A) Predict deterministic but complex dynamics (B) Randomize processes (C) Stop oscillations (D) Isolate cells 17. Which property is critical for synchronization in neuronal networks? (A) Coupling strength (B) Random noise (C) Genetic drift (D) Entropy decrease 18. Biological oscillators can be modeled as: (A) Harmonic oscillators with feedback (B) Isolated rigid rods (C) Static charges (D) Linear circuits only 19. The Hodgkin-Huxley model is a classic example of: (A) Systems-level electrophysiology model (B) Enzyme kinetics (C) DNA repair mechanism (D) Protein folding theory 20. Signal transduction pathways are studied as: (A) Information-processing systems (B) Random diffusion only (C) Chemical stability tests (D) Purely static events 21. In metabolic networks, flux balance analysis helps: (A) Predict steady-state flux distributions (B) Detect protein folding errors (C) Measure atomic forces (D) Eliminate redundancy in DNA 22. Systems-level analysis of mitochondria often focuses on: (A) Energy production and regulation (B) Pure DNA sequencing (C) Lipid transport only (D) Ionization constants 23. Which law is fundamental in energy balance in systems biophysics? (A) Newton’s third law (B) First law of thermodynamics (C) Hooke’s law (D) Pascal’s principle 24. Systems biophysics models cardiac rhythms using: (A) Nonlinear oscillators (B) Elastic rods (C) Rigid body mechanics (D) Random walks only 25. Phase transitions in biological membranes are examples of: (A) Emergent collective behavior (B) Isolated atom mechanics (C) Newtonian rigid motion (D) Linear conduction only 26. Cooperative binding of oxygen to hemoglobin is explained by: (A) Systems-level cooperativity (B) Linear binding (C) Random mutations (D) Zero entropy states 27. Which concept explains sudden state changes in biological systems? (A) Bifurcation theory (B) Linear regression (C) Basic arithmetic (D) Hooke’s law 28. A biological network with many redundant pathways is said to have: (A) Robustness (B) Fragility (C) Instability (D) Randomness 29. The main feature of scale-free networks is: (A) Few nodes with many connections (hubs) (B) All nodes equally connected (C) Isolated systems (D) Complete randomness 30. Systems biophysics of the brain often studies: (A) Neural networks and emergent cognition (B) Bone mechanics (C) Isolated muscle contraction only (D) Purely genetic codes 31. Entropy in systems biophysics represents: (A) Disorder or information uncertainty (B) Perfect order (C) Elastic stiffness (D) Pressure only 32. A bistable system can: (A) Switch between two stable states (B) Stay in only one state (C) Oscillate randomly without stability (D) Avoid regulation 33. Protein-protein interaction networks are examples of: (A) Complex systems (B) Static molecules (C) Random particles only (D) Isolated solutes 34. Which term describes the collective firing of neurons? (A) Synchronization (B) Damping (C) Inhibition (D) Random drift 35. Systems-level modeling often uses: (A) Computational simulations (B) Static diagrams only (C) Pure algebra (D) Single DNA sequences 36. Information theory in systems biophysics helps quantify: (A) Signal transmission and noise (B) Bone strength (C) ATP yield (D) Heat conduction 37. Small-world networks are characterized by: (A) Short path lengths and high clustering (B) Complete randomness (C) No connectivity (D) Perfect symmetry 38. The Lotka-Volterra equations model: (A) Predator-prey dynamics (B) Neuron action potentials (C) Protein folding (D) Heat transfer 39. Systems biophysics in immunology studies: (A) Network interactions of immune cells (B) Only antibody shape (C) Pure DNA transcription (D) Rigid motion of cells 40. Gene expression variability among identical cells is an example of: (A) Stochastic noise (B) Complete determinism (C) Energy conservation only (D) Perfect synchronization 41. Multiscale modeling in systems biophysics connects: (A) Molecular, cellular, and tissue levels (B) Only atomic forces (C) Pure macroscopic motion (D) Random noise only 42. In network theory, degree refers to: (A) Number of connections a node has (B) Temperature of the system (C) Energy of a state (D) Resistance to force 43. The principle of self-organization means: (A) Systems spontaneously form ordered patterns (B) Systems always stay random (C) Systems collapse without control (D) Systems depend only on external regulation 44. Synchronization of heart cells is mediated by: (A) Gap junctions (B) Ligaments (C) Elastic fibers (D) Hemoglobin 45. The Ising model is applied in systems biophysics to study: (A) Cooperative behavior in networks (B) Pure chemical bonds (C) DNA replication errors (D) Electromagnetic fields 46. Systems biophysics often applies graph theory to: (A) Biological networks (B) Crystals only (C) Isolated molecules only (D) Rigid body mechanics 47. Dynamic instability in microtubules is an example of: (A) Nonlinear dynamic behavior (B) Static equilibrium (C) Linear rigidity (D) Elastic potential 48. Systems-level cardiac arrhythmias are often modeled using: (A) Nonlinear oscillators and feedback loops (B) Isolated muscle fibers (C) Perfect linearity (D) Genetic codes only 49. Criticality in systems biophysics refers to: (A) Operation at the edge of stability and instability (B) Complete randomness (C) Pure stability (D) Noise-free conditions 50. 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