NMR Spectroscopy Part 2 Judith KleinSeetharaman Department of

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NMR Spectroscopy – Part 2 Judith Klein-Seetharaman Department of Structural Biology jks 33@pitt. edu

NMR Spectroscopy – Part 2 Judith Klein-Seetharaman Department of Structural Biology jks 33@pitt. edu Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture

NMR parameters Chemical Shift H 2 O methyl aromatic Trp-side -chain Backbone NH NH

NMR parameters Chemical Shift H 2 O methyl aromatic Trp-side -chain Backbone NH NH Side-chain HN OH aliphatic Ha Spectrum see handout 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 2

1 d 1 H NMR spectra 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman –

1 d 1 H NMR spectra 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 3

NMR of membrane proteins In lipid bilayer: In detergent micelle: http: //www. elmhurst. edu/~chm/vchembook/558

NMR of membrane proteins In lipid bilayer: In detergent micelle: http: //www. elmhurst. edu/~chm/vchembook/558 micelle. html 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 4

Problems! Detergent peaks Detergent signals cause dynamic range problems (Detergent signals cause spectral overlap)

Problems! Detergent peaks Detergent signals cause dynamic range problems (Detergent signals cause spectral overlap) Detergent deuteration is often not feasible 10/7/2020 Problem: 1 H, 1 HComputational NOESY spectra do– Klein-Seetharaman not show–protein Biology Laboratory Course NMR Lecture signals 5

Selective excitation A. Selective excitation of the NH region using 90 degree pulse followed

Selective excitation A. Selective excitation of the NH region using 90 degree pulse followed by direct observation. B. Selective excitation of the same region as in A. Using excitation sculpting. Backbone NH Tryptophan side chain NH 20 15 1 H 10/7/2020 10 5 Chemical Shift [ppm] 10 5 1 H 0 -5 Chemical Shift [ppm] Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 6

2 d HSQC 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 7

2 d HSQC 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 7

1 d projection of HSQC 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR

1 d projection of HSQC 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 8

HSQC spectra 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 9

HSQC spectra 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 9

Chemical shift perturbation Figure 2 in “Cap-free structure of e. IF 4 E suggests

Chemical shift perturbation Figure 2 in “Cap-free structure of e. IF 4 E suggests a basis for conformational regulation by its ligands Laurent Volpon, Michael J Osborne, Ivan Topisirovic, Nadeem Siddiqui and Katherine LB Borden The EMBO Journal (2006) 25, 5138– 5149 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 10

Assignment is needed! 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 11

Assignment is needed! 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 11

Several different assignment strategies exist Most easily automated: • • • 10/7/2020 HNCOCACB HNCOCA

Several different assignment strategies exist Most easily automated: • • • 10/7/2020 HNCOCACB HNCOCA HNCACB HNCACO Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 12

Experiments Figure 9. HNCO experiment. The magnetization is transferred (blue arrows) from the HN(i)

Experiments Figure 9. HNCO experiment. The magnetization is transferred (blue arrows) from the HN(i) proton via the N(i) atom to the directly attached CO(i-1) carbon atom and returns the same way to the HN(i) nucleus which is directly detected. The frequencies of all three nuclei (red) are detected. Image and description downloaded from http: //www. cryst. bbk. ac. uk/PPS 2/projects/schirra/html/3 dnmr. htm 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 13

Experiments Figure 14. HNCA experiment. The HNCA experiment is the prototype of all triple

Experiments Figure 14. HNCA experiment. The HNCA experiment is the prototype of all triple resonance experiments. Starting at an amide proton (H) the magnetization is transferred to the directly attached nitrogen atom (N) which is measured as the first spectral dimension. Then the magnetization is transferred to the Calpha nucleus (CA) which is measured as second dimension. Afterwards, the magnetization is transferred back the same way to the amide proton which is measured as the third (direct) dimension. Image and description downloaded from http: //www. cryst. bbk. ac. uk/PPS 2/projects/schirra/html/3 dnmr. htm 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 14

Experiments Figure 15. HNCACO experiment. In the HN(CA)CO experiment the magnetization is transferred from

Experiments Figure 15. HNCACO experiment. In the HN(CA)CO experiment the magnetization is transferred from the HN(i) proton via the N(i) atom and the CA nucleus (Calpha(i)) to the CO(i) carbon atom and back the same way. The Calpha atom (yellow) acts only as relay nucleus, its frequency is not detected. It is only the frequencies of HN, N and CO (red) which are detected. Image and description downloaded from http: //www. cryst. bbk. ac. uk/PPS 2/projects/schirra/html/3 dnmr. htm 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 15

Assignments 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 16

Assignments 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 16

Structure Prediction by NMR 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture

Structure Prediction by NMR 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 17

NMR parameters • • chemical shifts NOE Dipolar coupling Scalar coupling constants (gives dihedral

NMR parameters • • chemical shifts NOE Dipolar coupling Scalar coupling constants (gives dihedral angles) Solvent exchange Het. NOE longitudinal relaxation rates (R 1) transverse relaxation rates (R 2) 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 18

NMR parameters The Nuclear Overhauser Effect http: //www. oci. unizh. ch/group. pages/zerbe/NMR. pdf 10/7/2020

NMR parameters The Nuclear Overhauser Effect http: //www. oci. unizh. ch/group. pages/zerbe/NMR. pdf 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 19

HSQC TOCSY http: //www. oci. unizh. ch/group. pages/zerbe/NMR. pdf 10/7/2020 Computational Biology Laboratory Course

HSQC TOCSY http: //www. oci. unizh. ch/group. pages/zerbe/NMR. pdf 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 20

NMR Parameters Dipolar Couplings 10/7/2020 http: //www. oci. unizh. ch/group. pages/zerbe/NMR. pdf Computational Biology

NMR Parameters Dipolar Couplings 10/7/2020 http: //www. oci. unizh. ch/group. pages/zerbe/NMR. pdf Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 21

Scalar coupling constants 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 22

Scalar coupling constants 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 22

Structure Calculations • Distance geometry – Determines ensembles of structures consistent with an incomplete

Structure Calculations • Distance geometry – Determines ensembles of structures consistent with an incomplete set of distance restraints • Metric matrix algorithm • Variable target function approach • Restrained molecular dynamics – Cartesian or torsion-angle coordinate systems – Molecular dynamics force fields are supplemented by pseudo energy terms based on the NMR-derived restraints 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 23

Structure Prediction From NMR Parameters Most widely used software suites • CNS – http:

Structure Prediction From NMR Parameters Most widely used software suites • CNS – http: //cns. csb. yale. edu/v 1. 1/ • XPLOR – http: //xplor. csb. yale. edu/xplor/ 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 24

NMR parameters • • chemical shifts NOE Dipolar coupling Scalar coupling constants (gives dihedral

NMR parameters • • chemical shifts NOE Dipolar coupling Scalar coupling constants (gives dihedral angles) Solvent exchange Het. NOE longitudinal relaxation rates (R 1) transverse relaxation rates (R 2) 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 25

Comparison of T 1 and T 2 relaxation http: //www. oci. unizh. ch/group. pages/zerbe/NMR.

Comparison of T 1 and T 2 relaxation http: //www. oci. unizh. ch/group. pages/zerbe/NMR. pdf 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 26

Dynamics in folded/unfolded lysozyme Unfolded: Folded: Smaller rates – more flexible 10/7/2020 Computational Biology

Dynamics in folded/unfolded lysozyme Unfolded: Folded: Smaller rates – more flexible 10/7/2020 Computational Biology Laboratory Course – Klein-Seetharaman – NMR Lecture 27