Enzymes & Bioenergetics Basics
LEVEL 5 Mastery Examination (Cross-Domain: Biology + Physics + Mathematics + Coding)
Time limit: 90 minutes Total marks: 60 Instructions: Answer all three questions. Show full reasoning. Use notation for equations. Coding answers may be pseudocode or Python.
Question 1 — Thermodynamics, Coupling & ATP (20 marks)
The hydrolysis of ATP under cellular conditions has . A cell must drive the endergonic synthesis of glutamine from glutamate:
(a) Using the First and Second Laws of thermodynamics, explain why living cells are not violations of the Second Law despite building highly ordered structures. Refer explicitly to system vs. surroundings entropy. (4)
(b) State whether the glutamine synthesis reaction is exergonic or endergonic, and compute the overall when coupled to ATP hydrolysis (assume the physiological ATP value above). Is the coupled reaction spontaneous? (4)
(c) The relationship between standard free-energy change and the equilibrium constant is . Taking and , compute for the uncoupled glutamine reaction (). Comment on what the value implies about the reaction direction at standard conditions. (6)
(d) Define activation energy and explain, using the Arrhenius equation , how an enzyme changes reaction rate without changing of the overall reaction. (6)
Question 2 — Enzyme Kinetics: Derivation & Modelling (24 marks)
(a) Starting from the mechanism derive the Michaelis–Menten equation stating clearly the steady-state assumption and defining and . (8)
(b) Show algebraically that when , the initial velocity . Explain the biological meaning of . (4)
(c) An enzyme has and . Compute at . (4)
(d) Distinguish competitive from non-competitive inhibition in terms of their effect on apparent and . Then write a short Python/pseudocode function v0(S, Vmax, KM, I, Ki, mode) that returns for either inhibition mode, using:
- competitive: , unchanged
- non-competitive: , unchanged. (8)
Question 3 — Regulation & Applied Reasoning (16 marks)
(a) Compare the lock-and-key and induced-fit models of the active site. State one experimental observation that the induced-fit model explains better. (5)
(b) Explain allosteric regulation and feedback inhibition, using a named biosynthetic pathway of your choice as an example. Distinguish feedback inhibition from competitive inhibition mechanistically. (6)
(c) An enzyme shows optimum activity at pH 7 and 37 °C. Sketch (describe in words) and explain the shape of activity-vs-temperature and activity-vs-pH curves, including the molecular reason activity falls on either side of the optimum. Distinguish reversible reduction of rate from irreversible denaturation. (5)
Answer keyMark scheme & solutions
Question 1
(a) [4]
- First Law: energy is conserved; cells convert energy forms (chemical ↔ chemical/mechanical) but do not create it. (1)
- Second Law: total entropy of universe increases in any spontaneous process. (1)
- A cell decreases its own (system) entropy by building order, but releases heat and disordered products (CO₂, H₂O) to surroundings. (1)
- The increase in surroundings' entropy exceeds the decrease in system entropy, so — no violation. (1)
(b) [4]
- Glutamine synthesis has → endergonic. (1)
- Coupled: . (2)
- Negative → spontaneous (exergonic overall). (1)
(c) [6]
- Rearrange: . (1)
- . (1)
- Exponent: . (2)
- . (1)
- → at standard conditions equilibrium favours reactants; reaction does not proceed forward appreciably without energy input. (1)
(d) [6]
- = minimum energy needed to reach the transition state / activated complex from reactants. (2)
- Enzyme lowers by stabilising the transition state. (1)
- In , smaller makes the exponent less negative → larger → faster rate. (2)
- depends only on initial and final states, not the path, so it is unchanged; enzyme alters kinetics not thermodynamics; unchanged. (1)
Question 2
(a) [8]
- Rate of ES formation: . (1)
- Rate of ES breakdown: . (1)
- Steady-state assumption: , so . (1)
- Define , so . (1)
- Conservation: → . Substitute: . (2)
- , and , giving . (2)
(b) [4]
- Set : . (2)
- = substrate concentration giving half-maximal velocity; a measure of enzyme–substrate affinity (low = high affinity). (2)
(c) [4]
- . (4)
(d) [8]
- Competitive inhibitor binds active site; raises apparent ; unchanged (overcome by excess substrate). (2)
- Non-competitive inhibitor binds elsewhere (allosteric); lowers apparent ; unchanged. (2)
- Function (4):
def v0(S, Vmax, KM, I, Ki, mode):
if mode == "competitive":
KMapp = KM * (1 + I/Ki)
return Vmax * S / (KMapp + S)
elif mode == "non-competitive":
Vapp = Vmax / (1 + I/Ki)
return Vapp * S / (KM + S)Question 3
(a) [5]
- Lock-and-key: rigid active site complementary to substrate; only exact fit binds. (2)
- Induced-fit: active site flexible; substrate binding induces conformational change to fit and strain bonds. (2)
- Induced-fit better explains: broad specificity / conformational changes seen by X-ray (e.g. hexokinase closing over glucose). (1)
(b) [6]
- Allosteric regulation: effector binds a site distinct from active site, altering enzyme conformation and activity (activator or inhibitor). (2)
- Feedback inhibition: end product of a pathway allosterically inhibits an early (committed-step) enzyme, preventing overproduction — e.g. isoleucine inhibits threonine deaminase in the Thr→Ile pathway. (2)
- Difference: feedback inhibitor binds an allosteric site (not competing at active site) and is structurally unrelated to substrate; competitive inhibitor mimics substrate and binds active site directly. (2)
(c) [5]
- Temperature curve: rises with T (increased kinetic energy/collisions) to optimum ~37 °C, then falls sharply as heat denatures the enzyme (H-bonds break, tertiary structure lost). (2)
- pH curve: bell-shaped peak at pH 7; either side, altered ionisation of active-site/substrate groups reduces binding and catalysis. (2)
- Reversible vs irreversible: mild deviations reduce rate reversibly (charge changes); extreme heat/pH cause irreversible denaturation. (1)
[
{"claim":"Coupled dG of glutamine synthesis with ATP is -34 kJ/mol","code":"result = (14 + (-50)) == -34"},
{"claim":"Keq for +14 kJ/mol at 310K is approx 4.4e-3","code":"import sympy as sp; K = sp.exp(sp.Rational(-14000,1)/(sp.Float(8.314)*310)); result = abs(float(K)-0.00443) < 1e-4"},
{"claim":"v0 at S=12, Vmax=120, KM=4 equals 90","code":"result = 120*12/(4+12) == 90"},
{"claim":"At S=KM, v0 = Vmax/2","code":"Vmax,KM = sp.symbols('Vmax KM', positive=True); v = Vmax*KM/(KM+KM); result = sp.simplify(v - Vmax/2) == 0"}
]