A single amino acid → easy spectrum. Each proton (HN, Hα, Hβ, etc.) gives a separate peak.
No ambiguity. No overlap.
Now peaks overlap heavily.
Why?
Result: impossible to interpret in 1D.
Massive 1D overlap.
Solution: Spread information into more dimensions. Instead of 1D → use 2D and 3D.
Think of it like:
HSQC spectra of proteins from 42 aa to 377 aa show:
Large proteins tumble slowly.
Slow tumbling → short T₂ → broad peaks → low intensity.
Key concept:
Replace many ¹H with ²H (deuterium).
Why it helps:
Comparison shown:
TROSY selects the slowest relaxing component of the multiplet.
Important idea:
Result:
Together → powerful. Even 45 kDa protein becomes feasible.
α-synuclein vs calmodulin.
Disordered proteins:
Very heavy overlap.
Critical:
1 mmol material
0.2 mM concentration
50 aa → ¹⁵N
100 aa → ¹⁵N/¹³C
300 aa → ²H/¹⁵N/¹³C
Without good sample → no NMR.
Workflow:
Assignment is foundation.
Used when no isotope labeling.
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.
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.
Important: No J-coupling across peptide bond.
Each amino acid = independent spin system.
This is the key assumption for assignment.
Arbitrarily label them.
Find all peaks belonging to same spin system.
Examples:
This is pattern recognition.
Critical rule:
HN(i) shows NOE to:
NEVER forward.
So you connect: Residue i ↔ residue i-1
This is the “sequential walk”.
HN-HN NOEs appear only in α-helices.
In β-sheets → interstrand NOEs appear (Page 31).
These can confuse assignment.
Use ¹H–¹⁵N HSQC.
Each amide = one peak.
Better dispersion because ¹⁵N axis spreads signals.
Dimensions:
Interpretation: Take one HSQC peak → look into 3rd dimension → see full spin system.
This removes overlap in HN dimension.
Limitation: Weak for larger proteins.
This is the modern method.
Requires ¹⁵N/¹³C labeling.
Cα(i) AND Cα(i-1)
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.
Same idea but for carbonyl (C').
Same logic for Cα and Cβ.
Gives amino acid identity.
A 3D spectrum has 3 axes:
Example:
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.
Cα vs Cβ shifts cluster by residue type.
Example:
This helps residue identification.
Experiments:
These transfer magnetization across carbon network.
Used for:
Assignment often takes 50% of project time.
Typical backbone set:
Exact choice depends on protein size.
BioMagResBank (BMRB) http://www.bmrb.wisc.edu
Contains deposited assignments.
Protein NMR challenges:
Solutions:
Assignment logic:
Spin system → sequential connection → backbone linking → side chain completion → NOEs → structure.