What Is Noncompetitive Inhibition?
In enzyme kinetics, noncompetitive inhibition is a type of reversible enzyme inhibition where an inhibitor binds to an enzyme at a site other than the active site, reducing the enzyme’s overall activity.
Unlike competitive inhibition — where inhibitors fight for the active site — noncompetitive inhibitors change the enzyme’s shape or conformation, making it less effective even when substrate is present.
To understand this quantitatively, we use two important constants: α (alpha) and α′ (alpha prime).
Understanding Alpha (α) and Alpha Prime (α′)
These constants describe how the inhibitor affects binding to the enzyme and the enzyme-substrate complex.
| Symbol | Meaning | Mathematical Definition |
|---|---|---|
| α (alpha) | Describes how the inhibitor affects enzyme binding to the substrate. | α = 1 + [I] / Kᵢ |
| α′ (alpha prime) | Describes how the inhibitor affects the enzyme–substrate complex. | α′ = 1 + [I] / Kᵢ′ |
Where:
- [I] = inhibitor concentration
- Kᵢ = inhibition constant for inhibitor binding to the enzyme
- Kᵢ′ = inhibition constant for inhibitor binding to the enzyme–substrate complex
How to Calculate Alpha and Alpha Prime — Step by Step
Let’s walk through an example.
Example:
Suppose you are studying an enzyme with the following data:
- Inhibitor concentration, [I] = 0.5 mM
- Kᵢ = 0.25 mM
- Kᵢ′ = 1.0 mM
Step 1: Calculate α
α=1+[I]Kiα=1+Ki[I]α=1+0.50.25=1+2=3α=1+0.250.5=1+2=3
Step 2: Calculate α′
α′=1+[I]Ki′α′=1+Ki′[I]α′=1+0.51.0=1+0.5=1.5α′=1+1.00.5=1+0.5=1.5
Result:
- α = 3
- α′ = 1.5
What Does This Mean?
In noncompetitive inhibition:
- α and α′ are not equal, indicating that the inhibitor affects both the free enzyme and the enzyme–substrate complex differently.
- Because both are greater than 1, the inhibitor reduces enzyme activity.
When α = α′ → pure noncompetitive inhibition
When α ≠ α′ → mixed inhibition
How This Appears in the Lineweaver–Burk Plot
In a Lineweaver–Burk (double-reciprocal) plot:
- The Vmax decreases (since the enzyme’s catalytic ability is reduced).
- The Km may stay the same or change slightly, depending on whether α equals α′.
- Lines intersect left of the y-axis, a hallmark of mixed or noncompetitive inhibition.
Pro Tip: How to Recognize Noncompetitive Inhibition Experimentally
- Plot 1/V vs 1/[S] at different [I] values.
- If all lines intersect left of the y-axis but above the x-axis, it’s likely noncompetitive inhibition.
- Use nonlinear regression or software like GraphPad Prism to estimate α and α′ directly.
Quick Summary Table
| Term | Formula | Interpretation |
|---|---|---|
| α | 1 + [I]/Kᵢ | Inhibitor binding to free enzyme |
| α′ | 1 + [I]/Kᵢ′ | Inhibitor binding to enzyme–substrate complex |
| α = α′ | Pure noncompetitive inhibition | |
| α ≠ α′ | Mixed inhibition |
FAQ
Q1. Why are α and α′ important?
They allow biochemists to quantify how inhibitors affect enzyme kinetics and distinguish between different inhibition types.
Q2. What if α′ < α?
Then the inhibitor binds more tightly to the enzyme–substrate complex than to the free enzyme, suggesting mixed inhibition.
Q3. Do α and α′ have units?
No — both are dimensionless constants.
Final Thoughts
Learning how to calculate alpha (α) and alpha prime (α′) is crucial for mastering enzyme kinetics. Whether you’re working in a lab or studying for an exam, understanding these constants helps you interpret how inhibitors modulate enzyme function — a concept that’s essential in drug design, metabolic engineering, and biochemistry.