joel r. tolman department of chemistry johns hopkins university residual dipolar couplings ii embo...
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Joel R. TolmanDepartment of ChemistryJohns Hopkins University
Residual Dipolar Couplings II
EMBO Course 2009Rosario, Argentina
Overview
• The dipolar interaction
• Molecular alignment
• Interpretation of residual dipolar couplings
• Measurement of residual dipolar couplings
• Example applications
• Use of multiple alignment media
The dipolar coupling interaction depends on both angle and distance
15N
1Hθ
B0
rIsotropic solution
Dij
0
4
i
jh
2 2rij3
12
3cos2 1
HDD
0
4
I
Sh
2 2rIS3
IzS
z 1
4I S 1
4I S 1
23cos2 1
32
I Sz I
zS sin cos exp i 3
2I S
z I
zS sin cos exp i
34
I S sin2 exp 2i 34
I S sin2 exp 2i Nonsecular – contributes only to relaxation
Dij = 0
Can influence line positions
The dipolar interaction is averaged by molecular reorientation and in the solution state will generally not contribute line positions in the NMR spectrum.
Anisotropic solution Dij ≠ 0
The Dij are referred to as residual dipolar couplings
J = 7 Hz
D = -204 Hz
H0
h I I z SSz J D I zSz J 1
2D I xSx I ySy
D
klhrkl
3
3cos2 1
2
Residual dipolar couplings will contribute to line splittings much like J couplings
1H spectrum of uracil in Cesium perfluorooctanoate. Shown is the spectral region encompassing the H5 and H6 protons
Quantum mechanical energy level diagram for a weakly coupling two spin system
Scalar and dipolar coupling between equivalent spins
D coupling is observed between equivalent spins
J coupling not observed between equivalent spins
Spontaneous alignment in the magnetic field due to anisotropy of the magnetic susceptibility
Alignment of a DNA strand with respect to the static magnetic field, B0 Alignment of cyanometmyoglobin (low spin Fe (S = ½))
Diamagnetic Paramagnetic
Alignment governed by induced magnetic dipole-magnetic field interaction:
E = -B··B
< 0 > 0
Orients with principal axis of susceptibility tensor perpendicular to the field
Orients with principal axis of susceptibility tensor parallel to the field
Alignment induced by employing a highly ordered solvent environment
B0
Bicelles Purple Membrane - - - - - - -
- - - - - - -
- - - - - - -
- - - - - - -
Bacteriophage Pf1
Some examples of aqueous media compatible with biomolecules
Poly--benzyl-L-glutamate
Non-aqueous alignment media
Forms a chiral phase a compatible with CHCl3, CH2Cl2, DMF, THF, 1,4-dioxane
ref: Meddour et al JACS 1994, 116, 9652
DMSO-compatible polyacrylamide gels
N,N-dimethylacrylamide + N,N’-methylenebisacrylamide + 2-(acrylamido)-2-methylpropanesulfonic acid
ref: Haberz et al, Angew. Chem. 2005, 44, 427
Alignment in polyacrylamide gels is achieved by stretching or compressing the gel within the NMR tube. The resulting elongated cavities bias the orientation of the solute molecule
Dijres
0
4
i
jh
2 2rij ,eff3
Skl
cos kij cos
lij
klxyz
S
kl 3
2cos(
kt)cos
lt 1
2
kl
The Saupe order tensor formalism
The Saupe order tensor, S, is used to describe the alignment of the molecule relative to the magnetic field.
Angles n: used to describe Saupe tensor
Angles n: used to describe orientation of dipolar interaction vector, r
Molecular alignment is described by means of the alignment tensor
Structural coordinates + RDC data
Least squares fit
Alignment tensor (5 parameters)
Orientation: 3 Euler angles ()
Magnitudes:Azz and = (Axx – Ayy)/Azz
Determination of the alignment tensor
Description of alignment
AZZ(1)
For axially symmetric alignment, permissible orientations will lie along the surface of a cone with semi-angle θ
Any single measured RDC (Dij) corresponds to a continuum of possible
bond orientations
2cossin1cos324
D 2212
21
320res
ij
zz
ij
ji Ar
h
The alignment tensor provides the basis for interpretation of RDCs
Residual dipolar couplings provide long-range orientational constraints
For each internuclear vector, there is a corresponding cone of possible orientations, all related to a common reference coordinate system
The reference coordinate axes are determined according to the nature of molecular alignment (the alignment tensor)
from Thiele and Berger Org Lett 2003, 5, 705
Measurement of residual dipolar couplings
The simplest way to measure RDCs is by difference between line splittings measured in both isotropic solution and in the aligned state
-- Determination of the absolute sign of D could be a problem!
Frequency domain measurement of 15N-1H RDCs using 2D IPAP-HSQC
Couplings are measured as splittings in the frequency domain
In-Phase doublet (HSQC only)
Addition/Subtraction allows up-field and down-field peaks to be separated into two different spectra -- increasing resolution
Ottiger, M.; Delaglio, F.; Bax A. J. Magn. Reson., 1998, 131, 373-378
Two spectra are collected:
Anti-Phase doublet (HSQC+open pulses)
+/-
constant time period, T=n/J
NH
nominal
Quantitative J-type experiment (coupling is encoded in signal phase or intensity)
HSQC-PEC2 (HSQC with Phase-Encoded Couplings and Partial Error Correction)
Cutting, B.; Tolman, J.R.; Nanchen, S.; Bodenhausen, G. J. Biomol. NMR, 2001, 23, 195-200
The experiment produces two spectra with peak intensities modulated as a function of the coupling of interest and the length of the constant time period, T
trans
iso
cis
Assignment of diasteriomeric configuration for dihydropyridone derivatives
Aroulanda et al, Chem. Eur. J. 2003, 9, 4536-4539
Schuetz, et al JACS 2007, 129, 15114
Determination of Sagittamide stereochemistry using RDCs
Four possibilities consistent with J couplings:1) A, C2) A, D3) B, C4) B, D
A, C A, D B, DB, C
Shape based prediction of the alignment tensor
Burnell and de Lange Chem. Rev. 1998, 98, 2359
Circumference model
Calculates a mean field potential, U(), according to:
Equivalent ellipsoid models
An equivalent ellipsoid is derived from the gyration tensor R with eigenvalues k. Under this model, the order tensor shares the same principal axes and has the following eigenvalues:
Almond and Axelson JACS 2002, 124, 9986
Tm
j T
mj ()r
cd
rcd
T
mj ()r
c
r
c
Dot products among the normalized tensors
Each orientation weighted proportional to rc
The collision tensor:
PALES program: Zweckstetter and Bax JACS 2000, 122, 3791
Prediction of alignment in biomolecules
Additive Potential/ Maximum Entropy (APME) approach
Stevensson, et al JACS 2002, 124, 5946
with RDCs without RDCs
Additive potential model assumes each ring makes a distinct and conformation independent contribution to overall alignment. The total tensor is a simple sum of the two ring specific tensors
Maximum entropy determination of P(, ) from RDCs, NOEs and J couplings with adjustable parameters xy and xy
Determination of the relative orientation of domains
1) Measure RDCs for each domain – assignments required
2) Determine Saupe tensor for each domain – a structure is required for each
domain
3) Rotate Principal Axes into coincidence. Solution is fourfold ambiguous
Multi-alignment residual dipolar couplings
2cossin1cos324
D 2212
21
320res
ij
zz
ij
ji Ar
h
RDCs measured in a single alignment:
A continuum of possible internuclear vector orientations
Ambiguity can be lifted by acquisition of RDCs using two or more alignment media
Possible internuclear vector orientations correspond to the intersection of cones
Multi-alignment RDC methodology
Determination of NH bond orientations and mobility from RDCs measured under 5 independent aligning conditions
Determination of de novo bond orientations from RDCs measured in 3 independent alignment media
Theoretical formulation
The alignment tensors and the individual dipolar interaction tensors are written in irreducible form and combined into a single matrix equation
How do we relate this to structural and dynamic properties?
5 parameters are obtained for each internuclear vector. In analogy to the alignment tensor, they can be related to physical properties
(, ): mean orientation
(, Szz, ): generalized order parameter
+ direction and magnitude of motional asymmetry
NMR tools for studying molecular dynamics
Singular value decomposition of the RDC data
SVD of the data matrix D allows one to judge independence of the RDC data and to signal average across datasets. It is also the basis by which independent orthogonal linear combination (OLC-) RDC datasets can be constructed
Bicelles Charged bicelles
Pf1 phage
Purple membrane
CPBr/n-hexanolC12E5/n-hexanol
Pre
dict
ed R
DC
s (H
z)
Measured RDCs (Hz)
Pre
dict
ed R
DC
s (H
z)
RDC measurements were carried out for ubiquitin under 11 different aligning conditions, using 6 distinct media
Measured RDCs (Hz)
3 41 2 5
6 11
Construction of 5 independent datasets for ubiquitin
Noise vectors (6-11):
Signal vectors (1-5):
Singular values12
5
6
11
3 4
Residual dipolar tensors
Remaining 25 unknown parameters
The DIDC approach selects the solution with minimum overall motional amplitude
5 orthogonal RDC datasets
Direct Interpretation of Dipolar Couplings (DIDC)
X-ray crystal structure (1UBQ)
NMR structure (1D3Z)
RDC-refined 15N-1H bond orientations starting from X-ray
15N-1H bond orientations from DIDC
2.1°
2.6°2.2°
7.2°
7.3°5.8°
5.6°
8.0°
Angular RMSDs between different ubiquitin models
RDC-refined 15N-1H bond orientations starting from X-ray
5 independent alignment media
Mean internuclear vector orientations + dynamics
Rigid internuclear vector orientations; no dynamics
0 2 4 6 8 10 12 14
1
10
100
Protein G, B1 domain
Sin
gula
r V
alue
Index
RDCs measured in …
3 independent alignment media
Ubiquitin
Internuclear vector orientations are overdetermined with three independent RDC datasets
Prior knowledge of alignment tensors is required.
The requirement that the corresponding 3 cones must share a common intersection for a rigid molecule provides a route by which the need for prior knowledge of alignment can be overcome.
Two RDC measurements
Three RDC measurements
Internuclear vector orientations are overdetermined. Not all possible choices for alignment tensors are consistent
Our approach to the problem consists of three phases
Minimize all bond orientations
Minimize all alignment tensors
Iterate to convergence
Input:
RDC data (3 tensors)
Generate initial estimates for A
Minimization
Choose best solution based on RMSD and magnitude of A
Output:
Bond orientations + alignment tensors
Phase I: Initial estimation of alignment tensors
Alignment tensor magnitudes are estimated from the extrema of the RDC distribution
Focus on vectors corresponding to the max and min RDCs observed in each set
Vectors corresponding to the max and min observed RDCs are assumed to be collinear with the Z and Y principal axes of alignment
Minimization is carried out to find 9 unknown angles given 18 RDC measurements
At least 500 initial guesses of the 9 angles are made: All unique results are stored and used in the subsequent stage
Phase II: Least squares minimization of both bond vectors and alignment tensors
At the initial estimate for A
At the second iteration
At the global minimum for A
For some vectors, there is more than one orientation which agrees with the RDC data
Upper bound
0
1
2
3
Merr
Merr is a measure of how far the average generalized magnitude of alignment exceeds the upper bound predicted assuming a uniform vector distribution and given an estimate for experimental errors. A value of Merr between 0 and 1 is within expectation.
Rigid case
Dynamic case
The global minimum RMSD between experimental and calculated RDCs does not always correspond to the best solution!
1
3
ii est
err i ii upper est
M
Estimate from data
Experimental application to Ubiquitin and Protein GB1
Ub GB1
Amide N-H bond results for Ubiquitin and protein GB1
Ubiquitin:Mean deviation = 6.5°
Protein GB1:Mean deviation = 8.9°
Open circles denote second solutions which are within experimental error