Lecture 5 Video 7

Protein structure

🧲 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:

DistanceEffect
Far awaySharp peak
CloserFaster relaxation → broader peak
Very closeSignal 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:

  1. Engineer a cysteine mutation
  2. Attach nitroxide via disulfide chemistry
  3. 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:

FluorescenceNMR
Quencher reduces fluorescenceParamagnetic center reduces NMR intensity
Depends on concentrationDepends on label concentration
Distance dependentDistance dependent
Intrinsic or extrinsicIntrinsic 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.

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