Lecture 5 Video 7
🧲 Paramagnetic Relaxation Enhancement (PRE) — Making NMR See the Invisible
This lecture introduces Paramagnetic Relaxation Enhancement (PRE), a powerful NMR tool that allows you to extract long-range distance information and even detect rare, “invisible” states of proteins . Below is a structured and detailed walkthrough of all key concepts.
1️⃣ What Is Relaxation in NMR?
In NMR, we first excite nuclear spins (e.g., ¹H) into a non-equilibrium state. Nature then drives them back to equilibrium. This return process is called relaxation .
Relaxation:
- Is stochastic (random)
- Happens at a defined rate
- Causes the measurable signal to disappear
There are two main types:
- T₁ (longitudinal relaxation) → restores equilibrium magnetization
- T₂ (transverse relaxation) → causes signal decay (line broadening)
Both make signal intensity vanish, but through different mechanisms .
2️⃣ Why Paramagnetism Changes Everything
Relaxation is mainly caused by interactions between spins. The stronger the magnetic moment of interacting spins, the stronger the relaxation.
⚡ Electrons have a much stronger magnetic moment than nuclei.
So if a hydrogen atom is near an unpaired electron → its relaxation becomes dramatically faster .
Diamagnetic vs Paramagnetic
- Diamagnetic compounds → all electrons paired → total spin = 0
- Paramagnetic compounds → at least one unpaired electron → spin ≠ 0
Paramagnetic centers strongly enhance relaxation in nearby nuclei.
3️⃣ What Happens to the NMR Signal?
As a paramagnetic center approaches a hydrogen:
| Distance | Effect |
|---|---|
| Far away | Sharp peak |
| Closer | Faster relaxation → broader peak |
| Very close | Signal disappears |
This is distance-dependent relaxation enhancement .
4️⃣ Are There Natural Paramagnetic Centers in Proteins?
Yes! Some metals are naturally paramagnetic:
Paramagnetic metals:
- Copper (Cu²⁺)
- Manganese (Mn²⁺)
- Iron (Fe³⁺)
Diamagnetic examples:
- Zinc (Zn²⁺)
- Copper(I)
If the protein naturally contains a paramagnetic metal → intrinsic PRE
If we introduce one → extrinsic PRE
5️⃣ How Do We Introduce a Paramagnetic Label?
🧪 Nitroxide Spin Labels



Nitroxides are stable organic radicals with one unpaired electron.
Typical strategy:
- Engineer a cysteine mutation
- Attach nitroxide via disulfide chemistry
- Paramagnetic center is now precisely positioned
These are widely used and very effective .
🧲 Metal Chelators (EDTA-like systems)



Alternative strategy:
- Engineer histidines to bind metals
- Attach chelators to cysteine
- Add paramagnetic metals (e.g., Mn²⁺, Gd³⁺)
Best working probes:
- Manganese
- Gadolinium
- Nitroxides
Iron and copper often problematic due to electron relaxation properties .
6️⃣ The Physics Behind PRE
The PRE effect depends on:
- Nuclear magnetic moment (¹H most sensitive)
- Electron magnetic moment
- Electron spin number
- Distance
- Molecular mobility
- Electron spin relaxation rate
The most important relationship:
📏 PRE ∝ 1 / r⁶
This inverse sixth-power dependence makes PRE extremely distance sensitive .
Small distance changes → massive signal changes.
In solution, solvent PRE follows an inverse third-power dependence when looking at distance to solvent .
7️⃣ Example 1: Peptide on a Micelle Surface
The antimicrobial peptide Anoplin was studied using PRE.
Goal: Determine how it sits on a micelle surface.
Strategy:
- Add water-soluble gadolinium contrast agent
- Everything exposed to water experiences stronger PRE
- Buried regions experience weaker PRE
Known micelle radius: ~22–23 Å .
From PRE measurements:
- Distance of each Hα to micelle center calculated
- Peptide lies parallel to micelle surface
- Hydrophobic residues point inward
- Hydrophilic residues face water
This even allowed structure determination in the micelle environment .
💡 PRE gave solvent accessibility and spatial orientation information.
8️⃣ Example 2: Detecting Rare States (The Really Cool Part)
Protein–protein complex:
- Known structure
- Paramagnetic site engineered
- PRE measured
Expected PRE vs measured PRE did not match .
Structure wrong?
They tested by labeling the other protein:
- Now PRE matched prediction → structure correct
So what was happening?
Answer:
🔎 90% of the time → ligand bound in main position 🔎 10% of the time → ligand adopts alternative geometries
They modeled ~20 geometries at 0.5% population each. That small 10% total population explains the PRE data .
⚡ Even 1% of a strongly relaxing state is visible in PRE!
PRE can detect transient, low-population states invisible to normal NMR.
9️⃣ What Are PREs Useful For?
🔬 Structure calculation
- Provide long-range distance restraints
- Especially powerful for large systems
🌊 Solvent accessibility
- Map protein surface exposure
- Study membrane binding
🎯 Ligand binding
- Refine protein–ligand complexes
👻 Rare states
- Detect low-population conformations
- Study transient intermediates
Requirements:
- Paramagnetic label
- Diamagnetic control experiment
🔟 PRE and Fluorescence Quenching Analogy
PRE behaves like fluorescence quenching:
| Fluorescence | NMR |
|---|---|
| Quencher reduces fluorescence | Paramagnetic center reduces NMR intensity |
| Depends on concentration | Depends on label concentration |
| Distance dependent | Distance dependent |
| Intrinsic or extrinsic | Intrinsic or extrinsic |
PRE is essentially an NMR quencher system .
🧠 Big Picture Summary
PRE works because:
- Unpaired electrons are powerful relaxation enhancers
- Relaxation enhancement depends strongly on distance (r⁻⁶)
- Even tiny populations strongly influence observed signals
- You can engineer paramagnetic centers precisely
- It provides long-range structural and dynamic information
🚀 Why PRE Is So Powerful
Normal NMR:
- Good for short-range information (NOEs)
- Struggles with large systems and rare states
PRE:
- Long-range sensitivity
- Detects invisible states
- Probes membrane binding
- Maps surfaces
- Refines structures
It turns relaxation — normally just a nuisance — into a structural tool.