Lesson 3 PPT
🧲 1. Why is Protein NMR Different & Difficult? (Pages 1–5)
🔹 Problem I: Signal Overlap
Page 2 – Single Amino Acid
A single amino acid → easy spectrum. Each proton (HN, Hα, Hβ, etc.) gives a separate peak.
No ambiguity. No overlap.
Page 3 – Hexapeptide
Now peaks overlap heavily.
Why?
- Many similar chemical environments
- Many NHs around 8 ppm
- Many aliphatic protons 0–4 ppm
- Aromatics pile up 6–8 ppm
Result: impossible to interpret in 1D.
Page 4 – 148 aa Calmodulin
Massive 1D overlap.
Solution: Spread information into more dimensions. Instead of 1D → use 2D and 3D.
Think of it like:
- 1D = traffic jam
- 2D = spread cars onto two roads
- 3D = multi-level parking
Page 5 – Size Dependence
HSQC spectra of proteins from 42 aa to 377 aa show:
- More residues → more peaks
- Larger proteins → broader peaks (relaxation)
- Eventually impossible without isotope labeling
🧲 2. Problem II: T₂ Relaxation (Pages 6–9)
Page 6 – T₂ Relaxation
Large proteins tumble slowly.
Slow tumbling → short T₂ → broad peaks → low intensity.
Key concept:
- Small molecule → sharp peaks
- Large protein → broad weak peaks
Page 7 – Deuteration
Replace many ¹H with ²H (deuterium).
Why it helps:
- Fewer dipolar interactions
- Slower relaxation
- Narrower peaks
Comparison shown:
- Fully protonated → messy
- 75% deuterated → clean
Page 8 – TROSY
TROSY selects the slowest relaxing component of the multiplet.
Important idea:
- In large proteins, different relaxation pathways partially cancel.
- TROSY isolates the best one.
Result:
- Much sharper peaks
- Works well > 30 kDa
Page 9 – TROSY + Deuteration
Together → powerful. Even 45 kDa protein becomes feasible.
🧬 3. Disordered Proteins (Page 10)
α-synuclein vs calmodulin.
Disordered proteins:
- Narrow chemical shift dispersion
- All HN clustered around ~8 ppm
Very heavy overlap.
🧪 4. Sample Requirements (Page 12)
Critical:
1 mmol material
0.2 mM concentration
- Stable for weeks
- Isotope labeling depends on size:
50 aa → ¹⁵N
100 aa → ¹⁵N/¹³C
300 aa → ²H/¹⁵N/¹³C
- Protein must be folded & monodisperse
Without good sample → no NMR.
🧠 5. Assignment Strategy Overview (Page 13)
Workflow:
- Sample preparation
- Resonance assignment (huge time)
- NOE collection
- Structure calculation
- Functional/dynamics studies
Assignment is foundation.
🧭 6. Homonuclear Assignment – Small Peptides (Pages 15–30)
Used when no isotope labeling.
Required spectra (Page 16):
- TOCSY (80–90 ms)
- NOESY (50–60 ms)
- 2QF-COSY
🧬 6A. Understanding COSY vs TOCSY (Pages 17–19)
🔹 COSY
Shows direct J-couplings only (usually 2–3 bonds).
So: Hα ↔ Hβ Hβ ↔ Hγ
But NOT: Hα ↔ Hγ (unless directly coupled)
COSY = nearest neighbors in bond network.
🔹 TOCSY
Shows entire spin system via relayed magnetization.
All protons within same residue connect.
Example: HN → Hα → Hβ → Hγ → Hδ → etc.
TOCSY = entire amino acid fingerprint.
🧬 6B. What is a Spin System? (Page 17)
Important: No J-coupling across peptide bond.
Each amino acid = independent spin system.
This is the key assumption for assignment.
🧬 6C. Sequential Assignment Procedure (Pages 20–28)
Step 1 – Number HN/Hα peaks (Page 20–22)
Arbitrarily label them.
Step 2 – Use TOCSY
Find all peaks belonging to same spin system.
Step 3 – Identify residue type (Page 23)
Examples:
- Gly: 2 Hα, nothing else
- Ala: Hα + CH₃
- Thr: 2 Hα-like + CH₃
- Val: Hα + Hβ + 2 CH₃
- AMX pattern: Ser, Cys, Asp, Asn, His, Phe, Tyr, Trp
- Lys/Arg: many signals 3–3.5 ppm
- Pro: no HN → breaks walk
This is pattern recognition.
🧬 6D. Sequential NOE Walk (Page 26)
Critical rule:
HN(i) shows NOE to:
- Hα(i-1)
- Hβ(i-1)
NEVER forward.
So you connect: Residue i ↔ residue i-1
This is the “sequential walk”.
Important note:
HN-HN NOEs appear only in α-helices.
In β-sheets → interstrand NOEs appear (Page 31).
These can confuse assignment.
⚠️ Pitfalls (Page 30)
- Overlap
- Prolines break walk
- Secondary structure gives extra NOEs
- Very difficult without labeling
🧪 7. ¹⁵N Labeling Only (Pages 32–33)
Use ¹H–¹⁵N HSQC.
Each amide = one peak.
Better dispersion because ¹⁵N axis spreads signals.
🔹 3D ¹⁵N-edited TOCSY (Page 33)
Dimensions:
- HN
- ¹⁵N
- side-chain proton
Interpretation: Take one HSQC peak → look into 3rd dimension → see full spin system.
This removes overlap in HN dimension.
Limitation: Weak for larger proteins.
🧪 8. Triple Resonance Experiments (Pages 34–41)
This is the modern method.
Requires ¹⁵N/¹³C labeling.
🔹 HNCA vs HN(CO)CA (Pages 35–39)
HNCA detects:
Cα(i) AND Cα(i-1)
HN(CO)CA detects:
ONLY Cα(i-1)
So:
If peak appears in both → Cα(i-1) If only in HNCA → Cα(i)
This is the backbone linking logic.
🔹 HNCO / HN(CA)CO
Same idea but for carbonyl (C').
🔹 CBCA(CO)NH / CBCANH
Same logic for Cα and Cβ.
Gives amino acid identity.
🧲 9. How to Interpret 3D Spectra (Page 37 – Strips)
A 3D spectrum has 3 axes:
Example:
- ¹H
- ¹⁵N
- ¹³C
Visualization method: You slice at one HSQC peak → generate a “strip”.
Each strip: = one residue
Then compare neighboring strips: Find matching Cα(i-1) to Cα(i)
That builds sequence.
Strip comparison is like matching puzzle pieces.
🧪 10. Chemical Shift Patterns (Page 42)
Cα vs Cβ shifts cluster by residue type.
Example:
- Gly: low Cα
- Thr: high Cβ
- Val/Ile: characteristic pattern
This helps residue identification.
🧬 11. Side Chain Assignment (Pages 43–45)
Experiments:
- H(C)CH-TOCSY
- (H)CCH-TOCSY
- H(CCCO)NH
- HCCH-type
These transfer magnetization across carbon network.
Used for:
- Aliphatic side chains
- Aromatics (very difficult)
Assignment often takes 50% of project time.
🧾 12. Complete Experiment Set (Page 46)
Typical backbone set:
- HNCA
- HN(CO)CA
- HNCO
- HN(CA)CO
- CBCA(CO)NH
- CBCANH
- HBHA(CBCACO)NH
- HCCH-TOCSY
Exact choice depends on protein size.
📚 13. Literature Assignments (Page 47)
BioMagResBank (BMRB) http://www.bmrb.wisc.edu
Contains deposited assignments.
🎯 Big Picture Summary
Protein NMR challenges:
- Signal overlap
- T₂ relaxation
- Large number of resonances
Solutions:
- 2D/3D experiments
- Isotope labeling
- Deuteration
- TROSY
- Triple resonance backbone linking
Assignment logic:
Spin system → sequential connection → backbone linking → side chain completion → NOEs → structure.