Chevron plots are central for understanding protein folding kinetics. They allow us to extract:
Below is a structured explanation aligned with the material in the file .
A chevron plot shows:
log(k_) quad ext{vs} quad ext{denaturant}
It has a characteristic V-shape (like a chevron).


Left arm → Folding Right arm → Unfolding
When you monitor folding/unfolding in stop-flow, you observe a single exponential decay:
k_ = k_f + k_u
Important:
You do not directly measure ( k_f ) or ( k_u ). You measure the combined rate.
But depending on denaturant concentration:
This separation allows extraction of both rate constants.
You get several ( k_ ) values at different final denaturant concentrations.
Empirically:
ln k_f = ln k_f^{H2O} - m_f D
ln k_u = ln k_u^{H2O} + m_u D
Denaturant affects:
This leads to linear dependence in log space.
Extrapolate both arms to 0 M denaturant.
From the file example :
Then:
K = rac{k_f}{k_u} = rac{320}{0.005} = 640,000
Meaning:
For every 1 unfolded molecule → 640,000 folded molecules.
That is high stability.
From kinetics:
K = rac{k_f}{k_u}
From thermodynamics:
Delta G = -RT ln K
So chevron plots link:
Kinetics ↔ Thermodynamics
The slopes reflect how denaturant affects:
If:
This relates to Φ-value concepts.
Deviations (curvature or rollovers) suggest:
This means folding is not simple two-state.
✔ Chevron plots assume two-state folding ✔ Linear arms imply single transition state barrier ✔ Intersection at 0 M gives intrinsic rates in water ✔ Denaturant shifts stability of states differently
The reason the plot works is:
Denaturant changes free energies of:
The relative stabilization/destabilization changes activation energy:
k propto e^{-Delta G^ddagger / RT}
So chevron plots are essentially:
Energy landscape measurements projected onto kinetics.
Chevron plots allow you to:
They are one of the most powerful tools in protein folding kinetics.