The defining feature of enzyme catalysis is that the enzyme binds the substrate in a specific complex.
But binding in solution is not just about direct attraction between enzyme and substrate — you must also consider:
This chapter first explains the forces, then explains how they translate into binding energies.
All intermolecular forces are fundamentally electrostatic, but we classify them into types.
These occur between:
The strength depends on distance ( r ) and dielectric constant ( D ):
| Interaction Type | Energy falls as |
|---|---|
| Ion–ion | 1/(Dr) → long range |
| Dipole–dipole | 1/(Dr⁶) |
| Ion–induced dipole | 1/(Dr⁴) |
| Dipole–induced dipole | 1/(Dr⁶) |
So:
A dielectric reduces effective charge via polarization (illustrated in Figures 11.1 and 11.2).
Inside a dielectric: q_ = q/D
This means:
Calculating electrostatics is difficult because:
But modern methods (Warwicker–Watson algorithm, DelPhi) divide the system into tiny cubes (~1 ų) and solve classical electrostatics numerically.
From Table 11.1, calculated electrostatic interaction energies match experiments within ~10%.
Important note:
These are weak but universal.
The total potential energy between atoms:
U = rac{A}{r^{12}} - rac{B}{r^6}
📊 Figure 11.3 shows the classic potential well.
Dispersion forces arise from temporary induced dipoles.
(Table 11.2 shows polarizabilities and B values.)
Atoms have characteristic radii:
Contact distance = sum of radii.
Wells are shallow → distances vary ±0.1 Å easily.
Though weak individually:
So dispersion forces are weak but add up significantly.
Structure:
Typical geometry:
Strength:
Strong enough to matter. Weak enough to break rapidly.
Using transition state theory:
Hydrogen bonds are dynamic.
As donor and acceptor get closer:
Still debated whether important in catalysis.
Backbone NH groups stabilize developing negative charge in serine protease transition states.
Hydrogen bonds can stabilize transition states, not just ground-state binding.
Used in simulations:
E_ = ext{bond stretch} + ext{angle bend} + ext{dihedral} + ext{van der Waals} + ext{electrostatics}
Includes:
Hydrogen bonds are included in electrostatics.
These models are calibrated on experimental data.
Binding = small net difference between:
This is why binding energy is hard to compute.
Not really a “bond” — it’s an entropy effect.
Water forms hydrogen-bond networks. Hydrophobic solutes force water into ordered cages → entropy decreases.
When hydrophobes cluster:
Using surface tension analysis:
Two cases:
ΔG = –Aγ_HC/W
ΔG = –2Aγ_HC/W
So:
✨ Hydrophobic binding is proportional to buried surface area. ✨ Binding is stronger in preformed cavities.
Transfer energy ≈ 80–100 J/mol per Ų buried.
Hydrophobic effect drives:
Defined as:
pi = log(P/P_0)
Where:
Incremental free energy:
Delta G = 2.303RTpi
Example: Each –CH₂– adds:
Additive for non-conjugating groups.
Wolfenden measured transfer to:
Key patterns:
Very hydrophobic:
Very hydrophilic:
Arg:
These data are crucial for understanding:
Consider reaction (Equation 11.10):
Count hydrogen bonds before and after binding.
If:
Thus:
💡 Hydrogen bonds in solution often don’t change enthalpy much.
Because of:
Removing a hydrogen bond donor/acceptor weakens binding by:
Even though individual bond strength is ~20 kJ/mol.
Reason: Water compensates energetically.
Example: NH₃⁺ + COO⁻
Inventory shows:
Thus salt bridges are often nearly isoenthalpic in water.
Binding in biology is not about forming “strong new bonds.”
It is about:
The magic of enzymes lies in how they manipulate these delicate energetic balances.