Structure Determina-on by NMR Note: Good introductory text: “Fundamentals in Protein NMR Spectroscopy” by Gordon Rule and Kevin Hitchens (c. 2006) For the NMR spectroscopist: “Protein NMR Spectroscopy” by Cavanagh, Fairbrother, Palmer & Skelton” (2nd ed. c. 2007) NMR structure determina-on Distance geometry Assemble restraints Random coordinates Generate trial structures Simulated annealing Retain lowest energy structures (10%) Energy minimiza-on Evaluate and remove or revise constraints Inconsistent constraints? Addi-onal constraints? Determine quality of final structure But first we need to measure restraints • Step 1: Assign the spectrum – Use through‐bond correla-ons to transfer magne-za-on between directly bonded atoms – COSY, TOCSY for 1H only (unlabeled proteins, up to about 5kD) – Triple resonance experiments for 13C/15N proteins • HNCA, HN(CO)CA, HNCACB, CBCACONH, etc. • Step 2: Measure restraints – Distances between atoms • Use through space interac-ons • NOE (Nuclear Overhauser Enhancement), ≤5Å • PRE (Paramagne-c Relaxa-on Enhancement), ≈10‐30Å, 1/r6 distance dependence – Orienta-ons of bond vectors • RDC (residual dipolar coupling) – Torsion angles • 3 bond J‐coupling Interac-ons Between Spins • Only one is isotropic: J‐coupling – Only J‐coupling is overtly observed in solu-on NMR experiments (unless it is decoupled) – Rou-nely used to transfer magne-za-on between spins in solu-on NMR – THROUGH BOND • Dipolar coupling is anisotropic – Overtly observable in solids – Contribute to relaxa-on in solu-on NMR – Dipolar coupling is the basis for solu-on NMR NOE experiments. – THROUGH SPACE Resonance Assignment 103 123 104 130 76 10 105 106 180 86 25 101 5642 46 205 203 144 43 107 181 108 71 106 202 109 110 111 131 139 122 82 148 115 156 77 134 3 150 113 24 114 147 103 115 52 179 116 23 45 168 121 41 118 159 39 97 50 104 109 125 80 110 112 169 196 18 153 55 70 100 199 5126 129 138176 34 174 22 37 53 36 201 15 65 16 160 20089 197 192 69 161 48 154 64 193 88 102 120 54 99 126 173 167 94 57 124 27 83 91 2040 178 68 164 11 135 21 136 165 145 19 204 163 195 116 9695132 175 67 191 158 58 49 17 33 172 47 117 166 133 38 157 66 4 162 93 87 61 10798 92 35 194 151 149 59 177 112 3078 127 63 79 184 206 81186 90 182 114 111 6 2 85 62 188 137 5 183 152 117 118 119 120 185 28 108 p p m 121 189 122 123 124 125 126 170 72 127 105 187 29 F 1 128 129 146 130 131 132 11.0 10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 F2 ppm Is it easier to use through‐bond or through‐space interac-ons to assign resonances? Resonance Assignment • Small proteins (≤5kD) – 1H only – TOCSY/COSY to assign spin systems within residues (uses J‐coupling, through bond only) – NOESY to connect residues in order (uses NOE based on dipolar interac-ons, through space) and establish long‐range distance restraints • Medium proteins (≤10kD) • Large proteins (≤30 kD) – Same as small, but use 15N labeling to increase resolu-on and spread peaks in 3 dimensions – 13C/15N labeling – Triple resonance experiments use J‐coupling to specifically walk along backbone within and between residues – Assign side chain protons and use NOE distance restraints to determine structure – RDC, PRE, torsion restraints as well. • Very large proteins (≤60‐80kD) – Same as large proteins, but 2H to reduce 1H/1H dipolar coupling. – Special pulse sequences (TROSY) – Methyl‐base distance restraints (higher sensi-vity than amide) Backbone Assignment – HNCO • ≥10 kD protein, requires 13C/15N labeling i‐1 i i+1 H O H O O H N C N Cα C N C Cα Cα Hα R Hα Cβ Hα Cβ C γ HN(CA)CO i i‐1 i 13C’ i‐1 15N‐1H HSQC 1H Res 4 Hβ HNCO 13C Res 3 15N 1H Backbone Assignment – HNCA i‐1 i i+1 H O H O O H N C N Cα C N C Cα Cα Hα R Hα Cβ Hα Cβ C γ Hβ HNCA Res 3 Res 4 Res 5 HNCO i‐1 13C 13C α i‐1 i 13C’ 15N‐1H HSQC 15N i i‐1 i i‐1 i‐1 1H 1H 1H Side Chain Assignment i‐1 i i+1 H Many varia-ons for connec-ng Cβ O H O O H N C N Cα C N C Cα Cα Hα Cβ Hα Cβ Hα Cβ C γ Hβ HN(COCA)CB CBCA(CO)NH HNCACB HN(CA)CB i‐1 i i+1 H O H O H O H TOCSY experiments use N C N Cα C N C N C C isotropic mixing to transfer α α magne-za-on throughout the Hα Cβ Hα Cβ Hα Cβ HCCH TOCSY spin system CCH TOCSY C H HCC(CO)NH TOCSY γ β Dipolar coupling *FluctuaDons in dipolar coupling as protein rotates in soluDon creates fluctuaDons at the ••F frequency needed to trigger NOE and relaxaDon in soluDon experiments Dipolar Coupling • Can we observe dipolar coupling directly in solu-on? – NO! – Average of (3cos2θ‐1)/2 over all orienta-ons is 0! • Is the dipolar coupling zero at any given instant? – NO! – Fluctua-ons in dipolar coupling as protein rotates in solu-on create fluctua-ng magne-c fields. – Some-mes the frequency matched the ∆hν needed to trigger transi-ons between spin states. – This is the source of the nuclear overhauser effect and relaxaDon in soluDon experiments. Through space interac-ons: Nuclear Overhauser Effect (NOE) o oo ωS βα ωI ββ ωS ωI o oo oooo αβ ωS Saturate S spin without affec-ng I spin βα ωI ωS ωI ωI ooo ooo αβ ωS αα αα Popula-ons of the energy levels for 2 dipolar coupled spins at equilibrium. ββ Note that the I spin popula-on difference is not affected. ωS ωI Through space interac-ons: Nuclear Overhauser Effect (NOE) o oo ωS βα ωI ββ oooo αα Popula-ons of the energy levels for 2 dipolar coupled spins at equilibrium. ωS o oo αβ ωS ωI ββ ωS ωI Saturate S spin without affec-ng I spin βα ωI ooo Cross relaxaDon ωI ooo αβ ωS αα Cross relaxa.on – as molecule tumbles, dipolar coupling value fluctuates. Some of these fluctuaDons occur at the right frequency to cause spin flips, such as αβ to βα transiDons. Through space interac-ons: Nuclear Overhauser Effect (NOE) o oo ωS βα ωI ββ oooo Saturate S spin without affec-ng I spin βα oo Cross relaxaDon ωI Popula-ons of the energy levels for 2 dipolar coupled spins at equilibrium. ωI ooo αβ ωS αα αα ωS ωI oo oo αβ ωS ββ ωS ωI ωS ωI Through space restraints: Nuclear Overhauser Effect (NOE) • NOE arises due to fluctua-ons in magne-c field caused by dipolar coupling between spins – Through space restraint since dipolar coupling is a through space interac-on between spins. – Distance dependent – 1/r6 • Dipolar coupling is distant dependent • Closer spins are more strongly coupled, increased cross‐ relaxa-on, increased perturba-on of each other’s spin popula-ons, greater NOE NOESY Analysis 1H Acquire data (chemical shir, ω2) HB ω1 (ppm) Crosspeaks arise between protons within about 5 Å. HB N Encode Mixing -me chemical shir (ω1) HA HC HD HD HC HA ω2 (ppm) HB Use these restraints to build up structure using distance geometry. NOESY Analysis • Semi‐quan-ta-ve distance restraint – Longer mixing -me, greater NOE buildup – More complex than the simple cartoon. • Can measure NOE as a func-on of mixing -me and fit full equa-ons to accurately determine restraint. Expensive (NMR -me, analysis -me) and s-ll complicated by addi-onal coupling to remote protons. • Usually es-mate upper and lower bounds (weak, medium, strong NOE). Small protein assignment: TOCSY/ NOESY • TOCSY connects all 1H spins within i‐1 i 3 bonds of each other: H O H – Within residue connec-ons only N – Cannot transfer across C=O! • NOESY: typical NOEs observed depending on the type of secondary structure. – β: HN ‐ Hαi‐1, (HN ‐ HΝi‐1 weak) other short distances are cross‐strand! – α: HN ‐ HNi±1 HN ‐ Hαi‐1 H ‐ H i‐3 N α plus other weak NOEs with i+4 Cα C Hα Cβ C γ i+1 O O H N Cα C N Cα C Hα Cβ H C α β Hβ Small protein assignment: TOCSY/ NOESY H1y 0.0 5.0 10.0 10.0 TOCSY – through bond NOESY‐through space 9.0 8.0 H1x 7.0 6.0 5.0 Other restraints • NOEs have long been the primary restraint for NMR structure determina-on • Other restraints are useful when NOEs are difficult to obtain (large molecules, membrane proteins, disordered molecules) • Secondary structure (chemical shir index, backbone torsion angle) • Orienta-onal restraints (residual dipolar coupling, RDC) • Long‐range distance restraints (paramagne-c relaxa-on enhancement, PRE) – Requires spin label, thus not as non‐perturbing as most NMR – Not as widely used Typical Chemical Shir Values Chemical shir depends on ‐secondary structure ‐type of residue 15N not used in this way H‐bonding effect makes it more complicated Chemical Shir Index Chemical Shir Index Can you locate the helices and sheets? J‐coupling – Torsion angle restraints • Depends on conforma-on of intervening bonds for mul-‐bond coupling – 3J couplings used to determine torsion angles – Karplus equa-on – Backbone φ angle commonly determined from 3JHnHa, φ is the torsional angle between the C‐N‐Ca and N‐Ca‐C planes. – Sidechain χ1 determined from 3J couplings involving Hβ i‐1 i i+1 2J NCa, O H 3JHNCH, O H O 1‐10 4‐9 N C N Cα C N C Cα Cα Hα R Hα Cβ Hα Cβ 3 H C γ JHCCH, 2‐14 H β Karplus equa-on 9 Hz 3 Hz Residual Dipolar Coupling • Capturing the extra orienta-on‐dependent informa-on available in solid‐state with the resolu-on of solu-on NMR. • Induce a slight degree of alignment – Not enough to degrade resolu-on, just enough to par-ally align the sample – Bicelles – Phage Bo – Carbon nanotubes • Measure the dipolar coupling – Very small (Hz, not kHz) Residual Dipolar Coupling Usual HSQC 1H A 1H J B B 15N 15N Isotropic media, decoupled 1H ωI J Isotropic media, coupled Decoupled ωS A A J+D B Both spectral lines split by πJ J+D 15N ωS ωI Aligned media, coupled Residual Dipolar Coupling • Orienta-on dependence from dipolar coupling • Small values (typically 30 Hz or less) • Need to know structure and alignment tensor to interpret fully – simultaneously op-mize alignment tensor while determining structure – Regular rela-onship between orienta-on (and thus RDC value) along a helix or strand. – Largest RDC value for bond vectors parallel to z‐axis, largest value of opposite sign corresponds to vectors perpendicular to z (3cos2θ‐1). RDCs are especially useful for… • Good for figuring out rela-ve orienta-on of different domains – May not be a lot of interdomain‐NOEs – If only a few NOEs, rela-ve posi-on of domains will be poorly defined • Very sensi-ve to irregulari-es in secondary structure (kinks, etc) • Useful for “disordered” proteins – Not a lot of NOEs if only transient structure – May be able to pick up propensity for a par-cular conforma-on • Complementary to distance‐dependent NOEs NMR structure determina-on Distance geometry Assemble restraints Random coordinates Generate trial structures Simulated annealing Retain lowest energy structures (10%) Energy minimiza-on Evaluate and remove or revise constraints Inconsistent constraints? Addi-onal constraints? Determine quality of final structure Energy minimiza-on • • • • • • • • Experimental constraints (NOEs, 3J torsion restraints, bond orienta-ons from RDCs, CSI) Non‐experimental restraints: bond lengths, angles, torsional angles, van der waals interac-ons (usual equa-ons) Etotal=κEexperimental+Enon‐experimental Goal: a low‐energy structure that fits all restraints well. ENOE: square well with harmonic sides to account for semi‐quan-ta-ve nature of NOE ERDC: harmonic well Etorsion: Karplus equa-on Ini-al structures – Distance geometry: embed set of interatomic distances into 3D space to give atomic coordinates • • – • • ξi= ‐∂E/∂xi Good for minimizing within smooth well Simulated annealing: to escape entrapment in local minima – – – – • Random coordinates Structures refined by a combinaDon of energy minimizaDon and simulated annealing Energy minimiza-on: Move atoms in the direc-on defined by the gradient of the energy – – • Ini-al structures more likely to be in reasonable agreement with experimental restraints Smaller number of dis-nct conforma-ons generated Heat structure by adding kine-c energy to the system Slowly lower the energy to anneal to the global minimum Trajectory of the atoms calculated by molecular mechanics Used ini-ally to regularize the structures and ensure reasonable covalent geometry (no RDCs!) Programs, such as X‐PLOR are designed to handle NMR restraints and perform these calcula-ons Example Structure Ini-al structures – ini-al NOE set and regulariza-on H‐bonding added Torsion angles added RDCs added Example Structure