NMR and SPR Flashcards
Give an overview of NMR?
NMR spectroscopy measures the absorption of radio-frequency energy by atomic nuclei with spin = 1/2 (e.g. 1H, 13C, 15N, 31P) when placed in a strong magnetic field
The electron cloud around the nucleus causes small changes in the resonance frequency – called the chemical shift (d)
Nuclei separated by up to 3 covalent bonds show splitting of their peaks – called J-coupling
1H nuclei that are within 5Å distance exchange magnetization according to distance – called the nuclear Overhauser effect (NOE)
Intensity - proportional to the concentration of the species
Describe an NMR sample?
A 5mm diameter glass tube containing 0.5 ml of sample
NMR is insensitive - needs 50-500 mM = high protein concentration
Protein usually dissolved in buffer (Tris, phosphate, HEPES etc.)
NMR structures are in solution - no need to crystallise
Describe the NMR spectrometer?
Higher field magnet = better sensitivity and better resolution
Current highest available = 1.0 GHz
Cryogenically cooled ‘probes’ significantly boost sensitivity (by 2-3-fold)
What properties of proteins would we choose NMR to solve a protein structure?
NMR is the best choice for: Dynamic / mobile or very flexible systems Partly or fully unfolded systems Weakly interacting complexes Native environment e.g. in cells
What properties of proteins would we not choose NMR to solve a protein structure?
NMR is not the best choice for:
High resolution structures of large proteins and complexes
Proteins that cannot be expressed in simple systems eg E. coli (isotopic labelling is required)
Describe stable istopic labelling?
Need to enrich our sample in 15N (or 13C) – as these isotopes are present at very low abundance
Usually overexpress protein in E coli, as typically cheapest
Can use very simple substrates, e.g. 15NH4Cl, 13C-glucose
What are some types of isotopic labelling?
Selective labelling/selective unlabelling Deuteration Uniform C/N labelling Methyl selective labelling Paramagnetic labelling Fractional labelling Segmental labelling
Describe how NMR can be used to solve protein structures?
NMR can be used to completely solve a small protein or nucleic acid 3D structure (<25 kDa)
Complex process using multiple different types of NMR data
Uses computational calculations (e.g. ‘molecular dynamics’) to find structures that agree with the NMR data
Mechanism - sample preparation, spectroscopy, resonance assignments (which peak is what), gather information on - secondary structure/conformational constraints/global fold, calculate the structure which agrees with all the data, refinement and final ensemble
Describe 1D proton spectrum of a small protein?
Each peak is a different hydrogen atom
Lots of information about structure and dynamics of the protein, but too much overlap to be able to extract it
So we move on to 2D
Describe 2D heteronuclear NMR?
We can resolve overlap by increasing the dimensionality of the spectrum
2D spectrum spreads the 1D resonances out into two dimensions – allows interactions between them to be monitored
If the 2nd dimension is a nucleus other than 1H (e.g. 15N), it is called an ‘HSQC’
HSQC = heteronuclear single-quantum correlation
You can get one peak for each amide group for example - and therefore one peak per residue
2D 1H-15N HSQC gives a peak for every N-H group
Each amino acid residue (apart from Pro)
Each side chain of Asn, Gln and Trp (also sometimes His, Lys, Arg)
Provides a ‘fingerprint’ of the folded conformation of a polypeptide chain
Describe 3D ‘ triple resonance’ NMR?
Separate into three independent frequency dimensions
E.g. HNCA experiment – correlates HN, 15N and 13C within each residue
Key types of experiment for resonance assignment
We can produce links between amino acids in the polypeptide chain
Describe resonance assignment from 3D NMR?
Example: 3D HNCACB experiment
15N,13C-labelled protein
Here, we are matching ‘strips’ taken from the 3D spectrum that correspond to each 1H-15N pair in the protein
We’re looking for the same chemical shift in the same residues as it must be following on from the previous one
Software program assists matching of intra- & inter-residue correlations
Give some NMR parameters and the structural information they give?
Chemical shifts - resonance assignments, secondary structure
J-couplings - dihedral angles, Karplus curves
New J-couplings - direct idnetification of H-bonds
NOE - interatomic distances
Solvent exchange - H-bonds
Relaxation/line widths - mobility, dynamics, conformational exchange, projection angles
Residual dipolar couplings - projection angles
What are NOEs as structual restraints?
Nuclear Overhauser effect - measures interatomic distances
NMR can measure distances between protons < 5.5 Å apart in the folded protein by running NOESY (Nuclear Overhauser Effect SpectroscopY) experiments
This ‘web’ of 1H-1H distances can be used to work out the 3D structure
What is significant about using NOEs for interatomic distance measuring?
In reality - due to spin diffusion - we can only classify NOE intensities into approximate distance ranges
Classify into ‘strong’, ‘medium’, ’weak’ by peak integral
Assign an ‘upper bound’ to the distance for each, e.g.
Strong = <2.5 Å
Medium = <3.5 Å
Weak = <5.5 Å
Describe 2D and 3D NOE Spectroscopy?
A 3D NOESY separates the 1H NOEs into a 3rd dimension according to the chemical shift of the directly bonded 13C or 15N, massively reducing the overlap problem
Each strip contains NOEs from one NH group to all other hydrogen atoms close by
This can separate into aliphatic hydrogens and amide/aromatic hydrogens = reduce overlap
Describe residual dipolar coupling as a structural restraint?
Residual Dipolar Couplings (RDCs) are long-range orientational restraints
They report on the orientation of a bond (e.g. H-N) relative to the orientation of the protein in the magnetic field
RDCs are measured in a partially aligning medium
They are complementary to NOEs (short-range distance restraints)
Effects average out in isotopic solution but if samples are partially aligned some of this effect is retained
Nuclei as little magnets affecting each other
Usually averages to zero but if you align it doesn’t