Lecture 5 Book Chapter 4.5
🧩 1. Structure Quality Considerations Before Dynamics
Before discussing dynamics, the chapter emphasizes important structural validation aspects:
🔁 The Third Backbone Dihedral Angle (ω)
- The ω angle (peptide bond) is usually fixed to 180° (trans) in NMR structure determination.
- Only when experimental evidence supports it is it set to 0° (cis).
- Fixing ω creates very narrow structural distributions.
- Some refinement protocols allow slight deviations from 180°.
👉 Important: Over-constraining ω artificially reduces structural variability.
🚫 Interatomic Bumps (Close Contacts)
- These occur when nonbonded atoms are closer than allowed by van der Waals radii.
- This is energetically very unfavorable.
- Structure validation tools:
- WHAT-IF
- MolProbity
👉 A good structure should have very few steric clashes.
🔗 Hydrogen Bonding Quality
Hydrogen bonds are crucial structural stabilizers.
How can NMR detect them?
- Through-hydrogen-bond J-coupling → Rarely measured.
- Indirect methods (more common):
- Amide H/D exchange rates
- Temperature dependence of chemical shifts
⚠ Limitations:
- Only the donor is identified.
- Many donors (Ser, Thr, Tyr hydroxyls) are invisible in NMR.
- The complete hydrogen bond network cannot be determined experimentally.
👉 Therefore, force-field refinement is critical.
Special backbone hydrogen bond potentials improve structure generation.
Quality indicators:
- Number of unsatisfied donors/acceptors
- Computed hydrogen-bonding energy
🌊 2. Protein Dynamics: The Big Picture
Proteins are ensembles of interconverting states, not static objects.
⏳ Timescales of Motion
Energy barriers determine exchange rates:
| Motion Type | Timescale |
|---|---|
| Local librations | picoseconds |
| Side chain motions | ps–ns |
| Global tumbling | ns |
| Conformational exchange | μs–ms |
| Large rearrangements | seconds |
🌀 Global Tumbling
Proteins rotate in solution.
Correlation time ( au_m ):
- Derived from Stokes–Einstein–Debye equation
- Typically several to hundreds of ns
Key concept:
- Motions faster than τm → internal fast motions
- Motions slower than τm → collective conformational exchange
The figure on page 2 (Fig. 4.13) beautifully summarizes this hierarchy.
📡 3. NMR Observables Affected by Dynamics
NMR reports on dynamics via multiple observables.
🧪 Chemical Shift and Exchange
Chemical shifts are sensitive to environment.
For two-state exchange (A ⇌ B):
🟢 Fast exchange (kex >> Δν)
- One averaged peak
- Position = population-weighted average
🔴 Slow exchange (kex << Δν)
- Two separate peaks
- Intensities reflect populations
🟡 Intermediate exchange
- One averaged peak
- Line broadening (exchange broadening)
- May become undetectable
📌 Peak width at half height: T_2^{-1} = pi Delta u_{1/2}
Exchange affects T₂, not T₁.
Figure 4.14 (page 3) clearly illustrates these regimes.
📉 4. Relaxation and Linewidth
Linewidth (T₂) depends on:
- Exchange broadening
- Tumbling correlation time (τm)
- Fast internal motions
T₂ increases almost linearly with τm (Fig. 4.15).
🔄 T₁ Relaxation
T₁ depends on:
- Tumbling
- Motions faster than tumbling
It does not depend on slow conformational exchange.
📏 Distance Averaging in Exchange
For dipolar-coupled nuclei:
If exchange is:
- Fast on chemical shift timescale
- Slower than tumbling
Relaxation depends on ⟨r⁻⁶⟩.
If exchange is faster than tumbling: Relaxation depends on ⟨r⁻³⟩².
For NH bonds:
- r is fixed → distinction irrelevant.
🔁 NOE and Dynamics
Steady-state NOE depends on:
- T₁
- Dipolar interaction correlation time
- τm
- Fast internal motion
🧲 RDCs and Dynamics
Residual Dipolar Couplings report on:
- Orientation of bond vectors
- Motions from ps → ms
Internal motion averages vector orientations → averaged RDC values.
Thus: 👉 RDCs encode dynamic information.
🧠 5. NMR Experiments for Dynamics
Dynamic information comes from relaxation measurements.
Relaxation arises from:
- Fluctuating magnetic fields
- Caused by molecular motion
- Frequency dependence described by spectral density J(ω)
J(ω) is the Fourier transform of time correlation functions.
🧬 6. ¹⁵N Relaxation Experiments
The backbone ¹H–¹⁵N amide bond is ideal because:
- Present in all non-Pro residues
- Approximates two-spin system
- Easy to measure in HSQC
Measured parameters:
- ¹⁵N T₁
- ¹⁵N T₂
- ¹H–¹⁵N NOE
They probe:
- ps–ns motions
- μs–ms exchange
🧮 7. Extracting Tumbling Correlation Time
For isotropic tumbling:
au_m = rac{1}{2 u_N} sqrt{rac{6T_1}{T_2} - 7}
But proteins are often:
- Nonspherical
- Anisotropically rotating
Thus T₁/T₂ may vary per residue even without internal motion.
🧩 8. Model-Free Formalism (Lipari–Szabo)
Goal: Separate:
- Overall tumbling
- Internal motion
Assumption: Internal and overall motions are separable:
C(t) = C_0(t) C_i(t)
Basic Model-Free Parameters
Three parameters:
- τm – global tumbling
- S² – order parameter
- τe – internal motion timescale
📌 Order Parameter S²
Measures amplitude of motion:
- S² = 1 → completely rigid
- S² = 0 → fully flexible
- Typical backbone: 0.7–0.95
Represents angular restriction of bond vector.
Spectral Density (Basic Model)
[ J( u) = rac{2}{5} left( rac{S^2 au_m}{1+ u^2 au_m^2}
- rac{(1-S^2) au}{1+ u^2 au^2} ight) ]
with:
au^{-1} = au_m^{-1} + au_e^{-1}
🧠 9. Extended Model-Free (Clore)
Accounts for:
- Fast internal motion (τf)
- Slow internal motion (τs)
With separate order parameters:
- S²f
- S²s
Total: S^2 = S_f^2 S_s^2
Up to six fitting parameters:
- τm
- S²f
- S²s
- τf
- τs
- Rex
⚡ 10. Conformational Exchange (Rex)
Rex contributes to T₂ only.
Captures:
- μs–ms exchange
- Chemical shift modulation
Exchange affects:
- T₂
- Not T₁
🎯 Final Conceptual Takeaways
This chapter builds a powerful conceptual framework:
Proteins are dynamic ensembles.
NMR observables encode motion through:
- Chemical shift averaging
- Line broadening
- Relaxation rates
- NOE values
- RDC averaging
Timescale Mapping:
| Timescale | Technique |
|---|---|
| ps–ns | ¹⁵N T₁, T₂, NOE |
| μs–ms | Rex, CPMG |
| ms–s | EXSY |
| ps–ms | RDCs |
(Figure 4.13 visually summarizes this hierarchy.)
🧠 Big Insight
Structure determination is incomplete without dynamics.
Relaxation analysis allows:
- Quantifying flexibility (S²)
- Extracting timescales (τe)
- Detecting conformational exchange (Rex)
- Understanding protein function through motion