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Nuclear Magnetic Resonance: October 2016 How it Works How We Use it NMR: Further Reading Modern NMR Techniques for Chemistry Research by Andrew E. Derome (general principles and organic chemistry applications) Understanding NMR Spectroscopy by James Keeler (to help a user become an expert) Parts of Chapters 2-5, 7 http://www-keeler.ch.cam.ac.uk/ Electromagnetic Radiation is a Sine Wave in 3 Dimensions http://www.physics.gatech.edu/gcuo/UltrafastOptics/3803/OpticsI03Maxwell_sEqns.ppt At any given point, as light propagates, the electric and magnetic fields fluctuate sinusoidally Quantum mechanically, the energy is hn (h is plank’s const. and n is the frequency) Magnetic Resonance uses Radiofrequency Radiation •Nuclei, especially protons, are most visible •Structural information can be partial (sometimes) Nuclear Magnetic Resonance: Observation Sin wot M (t) t z FT x y Ho H1 O H H w=-wo w=0 w=+wo 2 “delta functions” A More Realistic Example: A Sine Wave with Exponential Decay Sin wot exp(-at) M (t) z x y Ho H1 FT a O H H n. b. we have tricks to get rid of the negative signal w=0 w=+wo FT of exp(-at) = 1/{1 + ((w- wo )/a)2} (a “lorentzian”) Line Width and Line Shape M (t) a Sin wot exp(-at) FT Sin wot exp(-bt) b>a If signals come from the same molecule, integral under the peak is equal FT of exp(-at) = 1/{1 + (w/a)2} A Molecule With Two Proton Signals M (t) Sin w1t + Sin w2t + z X e-at = x y Ho H N FT H N H N H1 N N H n. b. We add to deuterated water: NH2 is invisible w=w1 w=w2 Where Does the NMR Signal Come From? 1. 2. We measure signals and mathematically interpret them, then we form models to fit the math We must come up with a model which Produces sinusoidal signals Produces exponential decay Electrons and Nuclei Have Magnetic Moments mm = gL (L = nuclear spin angular momentum) g = the magnetogyric ratio, characteristic of the type of nucleus (see table 9-1 of Cantor and Schimmel) 1H is the most sensitive of the natural abundance nuclei For organic molecules or biomolecules, 13C, 15N, 19F and 31P are most frequently detected The Larmor Frequency w = gH = “The Larmor frequency” The Larmor Frequency Depends on: • The gyromagnetic ratio (characteristic of the nucleus) • The local magnetic field 1. Ho the External field 2. Local variations due to the chemical environment In real situations, we measure the Larmor frequency relative to a reference. The frequency for a signal attached to a given nucleus, relative to this reference, is called the chemical shift The Larmor Frequency The Local Magnetic Field Depends on: • Magnetic fields from neighboring nuclei • Aromatic rings (ring currents) • Coupling to other nuclei 1. Electronic structure of covalent bonds 2. Through space coupling (“dipolar interactions”) (Nuclear Overhauser Enhancement (NOE) proportional to r-6, r is the interproton distance 3. Residual dipolar splittings-arise from magnetic dipole-dipole interactions-sensitive to the alignment of the sample relative to the external field A “Classical” Picture to Explain NMR Consider a spinning charged body in a magnetic field Ho Current Torque = t = mm X H These are all vector quantities mm Ho Magnetic Moment t = dL/dt = change in angular momentum: perpendicular to mm and H But mm = gL dL/dt = gL X H = -L X w (mechanically you can observe the same with a “spinning top”) Circular (Periodic) Motion Cosine (x projections) Sine (y projections) Geometric Interpretation A(t) = Snuclei rncos(wn t - fn) sum of harmonic funtions rn = “amplitude” or “intensity” y wn = “frequency” fn = “phase” r wt -f 0 The Fourier Transform extracts these harmonic functions from the magnetization as a function of time (called the “free induction decay” or “FID”) to obtain the frequency spectrum x Quantum Mechanical Aspects of NMR: Practical Considerations Nuclei have discrete (quantized) spin states Spin ½ nuclei: spin + 1/2, spin – 1/2 Spin 1 nuclei: spin + 1, spin 0, spin -1 We observe xy magnetization signal when there is a net movement of nuclei from one spin state to another over the ensemble of spins in the sample: Z magnetization corresponds to a net magnetic moment with the external field Pulsed NMR In order to observe xy signal, we perturb nuclei from their equilibrium positions Magnetic “Pulse” P(t) in x or y direction perturbs equilibrium, by setting up a “resonance” at the Larmor frequency Ho Ho equilibrium perturbed Two dimensional NMR At least two magnetic pulses are required: p1 p2 Input pulses t1 t2 t1 t2 Magnetization measured as function of time Repeat experiment varying t1 M( t1, t2 ) Two fourier transforms (t1, t2 ) I( w1, w2) Advantages of 2-d NMR w1 Diagonal peaks occur where w1 = w2 Cross peaks occur where w1 w2 w2 •Increased resolution •Cross peaks can reveal structural information: Through bond coupling Through space coupling (distances) Chemical exchange 2d and 3d NMR Experiments Commonly Used in Biology COSY (Correlation Spectroscopy) Direct Covalent bond required NOESY (NOE Spectroscopy) Nuclei close in space TOCSY (Total Correlation Spectroscopy) Coupling transferred from one bond to another HSQC (Heteronuclear Single Quantum Coherence) Heteronuclear single bond coupling (most often 1H-15N, also 1H-13C) HNCA/HNCO/HNCACB (“Protein backbone experiment”-3D) Proton-carbon-nitrogen coupling Application of NMR Data to Biomolecules 1. 2. 3. 4. 5. Collect data in magnet Process Data (FT) Assign the spectrum. Each peak = one proton (or carbon or nitrogen, etc.) Interpret data. For as many proton pairs as possible, gather data on distance and orientation. Input distance, hydrogen bonding, and orientation restraints into structure calculation, together with covalent bonds, angles and dihedrals Molecular Dynamics Simulations N atoms, 3N coordinates (Random Starting Positions) xn, yn, zn vnx, vny, vnz Calculate position, velocity, acceleration for each coordinate for time period, Δt F = ma = Electrostatics + Covalent bonds/angles + Solvent molecules, 3N equations of motion a=(Δvx/Δt)n, (Δvy/Δt)n , (Δvz/Δt)n From new coordinates (after time Δt) repeat Structure Calculation Ep = S K1(r – ro)2 +S K2(q– qo)2 + S (V/2)[1 – cos(nf + g) ] + Electrostatics + H-bond + L-J + data constraint Data constraint (NOE) = KNOE (x – xo)2 if interproton distance x > max xo from NOE, 0 otherwise Similar terms are added for torsion angles from J-coupling and for orientations of bonds from RDCs 1. 2. 3. 4. 5. Generate many (~50) starting structures Heat (in silico) and run molecular dynamics (iterative) Cool, mimimize energy Select suitable subset Superimpose, look for convergence Protein and nucleic acid 3D structure generation from NMR NMR assignments Distance (NOE) restraints backbone-backbone-2Þ sidechain-backbone sidechain-sidechain 3Þ } Torsion angle restraints Typical protocol for 3D structure generation from NMR data (1H only) H-bond restraints Initial structures Simulated annealing, Restrained dynamics, or Distance geometry Convergence Restrained dynamics, or Restrained energy minimization Iterative relaxation matrix approach How to judge the quality of an NMR structure? Precision ≠ Accuracy Root mean square deviation (rmsd) as measure of precision 2 possible explanations for variable regions: lack of data and/or disorder NMR and Structure-Based Drug Design X-ray is higher resolution than NMR X-ray is faster than NMR (when the apostructure is easily crystallized) for a high resolution structure The role of NMR in drug discovery has changed Fragment-Based Lead Discovery: History “SAR by NMR” (Fesik) as Means of Identifying and Linking Functional Groups Step 1: Identify small mw binder (Ki1~10-3-10-6) Step 2:Screen for 2nd site binder in presence of first (Ki2~10-3-10-6) Step 3: Chemically link moieties (Ki~ Ki *K i2) two 1 Fragment Library Design Fragments must be “lead-like” not “druglike” MW < 250, allows compound to “grow” Weak binding affinity (will add affinity with growth) Contain polar groups Insures solubility Polar groups are reactive Pick up hydrogen bonding interactions Correlation Times and Dynamics in NMR We define the Relaxation times T1 and T2 such that M(t) is proportional to exp (-t/T1(2)) T1 = Longitudinal relaxation time (rate of decay of z magnetization) T2 = Transverse relaxation time (xy plane) Decay occurs due to many factors, including tumbling/dynamics of the molecule Fluctuations in molecular conformation/position, described by the correlation function, lead to decay G(t) = <f(t)f(t + t)> = exp(-t/tc) CPMG (Carr-Purcell-Meiboom Gill) Experiment Takes Advantage of T2 Relaxation Introduce “T2 filter” Mixture of Small Molecule With Large Molecule: We can Distinguish Free from Bound CPMG Experiments 1.2 2mM Linezolid 1 0.8 0.6 2mM Linezolid, 1mM 70S 0.4 0.2 0 0 100 200 300 400 T/ms Small Molecule Macromolecule 500 600 Saturation Transfer to Detect Ligand Binding by NMR NOE •Sign of NOE Transfer Depends on Tumbling (MW) (as measured in STD or LOGSY exp) 0.0 ~800 •Sign of Ligand MW Signal Inverts upon Binding to N. B. Magnitude of High MW (+) NOE >> Protein Low MW (-) NOE Identification of Binding Site by Displacement (HSP90) Cpd B 1D 1H NMR Water-LOGSY (all signals positive) Pos = Bound Neg=Free Protein Added Control Competitor Added Cpd A SeeDs – Overall process Target Structure by X-Ray NMR Competitive Binding Experiment Rapid - NMR filter in <1 weeks - X-ray structures in 2-3 weeks Fragment Library Use information about fragment binding to discover or design new hit compounds Conclusions/Summary NMR structure determination is built from interproton distances and orientations of internuclear bond vectors Large proteins are challenging by NMR using relatively new techniques (TROSY) Partial information regarding ligand binding and dynamics can be obtained from the rate of signal buildup/decay. Correlations Times and Relaxation G(t) = <f (t)f (t + t)> = exp(-t/tc) This gives rise to resonances leading to decay of magnetization J(w) = FT{G(t)} = 2tc/(1 + w2tc2) (the spectral density) For large tc, (slowly tumbling (big) molecules) rate of decay of signal is very rapid TROSY Transverse Relaxation Spectroscopy minimizes Decay of Signal for Large Molecules For a Given Protein, Measuring T1 and T2 for Each Backbone Amide Gives Information about Internal Dynamics