Center for Structural Biology

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Transcript Center for Structural Biology

01/20/03 Biomolecular Nuclear Magnetic Resonance Spectroscopy FROM ASSIGNMENT TO STRUCTURE Sequential resonance assignment strategies NMR data for structure determination Structure calculations Properties of NMR structures

Basic Strategy to Assign Resonances in a Protein 1. Identify resonances for each amino acid T G L S S R G 2. Put amino acids in order - Sequential assignment ( R-G-S , T-L-G-S ) - Sequence-specific assignment 1 2 3 4 5 6 7 R - G - S T - L - G - S

Homonuclear 1 H Assignment Strategy

Scalar coupling to identify resonances, dipolar couplings to place in sequence

Based on backbone NH (unique region of spectrum, greatest dispersion of resonances, least overlap)

Concept: build out from the backbone to identify the side chain resonances

2 nd dimension resolves overlaps, 3D rare 1 H 1 H 1 H

Step 1: Identify Spin System

Step 2: Fit Residues In Sequence

Minor Flaw: All NOEs Mixed Together

Use only these to make sequential assignments Sequential

Long Range Intraresidue

A B C D

• • • •

Z

Medium-range (helices)

Extended Homonuclear 1 H Strategy

Same basic idea as 1 H strategy: based on backbone NH

Concept: when backbone 1 H disperse with backbone 15 N overlaps

 •

Use Het. 3D to increase signal resolution 1 H 1 H 15 N

15 N Dispersed 1 H 1 H TOCSY 3 overlapped NH resonances Same NH, different 15 N F2 F1 F3 TOCSY HSQC 1 H 1 H 15 N t 1 t 2 t 3

Heteronuclear ( 1 H, 13 C, 15 N) Strategy

Assign resonances for all atoms (except O)

Even handles backbone 15 N 1 H overlaps disperse with backbone C’C

a

H

a

C

b

H

b

Het. 3D/4D increases signal resolution 1 H 13 C 15 N 1 H

Works on bigger proteins because scalar couplings are larger

Heteronuclear Assignments: Backbone Experiments Names of scalar experiments based on atoms detected

Consecutive residues!!

NOESY not needed

Heteronuclear Assignments: Side Chain Experiments Multiple redundancies increase reliability

Heteronuclear Strategy: Key Points

Bonus: amino acid identification and sequential assignments all at once

Most efficient, but expts. more complex

Enables study of much larger proteins (TROSY/CRINEPT

1 MDa: e.g. Gro EL)

Requires 15 N, 13 C, [ 2 H] enrichment

High expression in minimal media (E. coli)

Extra $ ($150/g 13 C-glucose, $20/g 15 NH 4 Cl

Structure Determination Overview

NMR Experimental Observables Providing Structural Information

Backbone conformation from chemical shifts (Chemical Shift Index- CSI)

Distance constraints from NOEs

Hydrogen bond constraints

Backbone and side chain dihedral angle constraints from scalar couplings

Orientation constraints from residual dipolar couplings

1 H 1 H Distances From NOEs Sequential Long-range (tertiary structure) Intraresidue A B C D

• • • •

Z Medium-range (helices)

Challenge is to assign all peaks in NOESY spectra

Protein Fold Without Full Structure Calculations 1. Determine secondary structure

CSI directly from assignments

Medium-range NOEs 2. Add key long-range NOEs to fold

Approaches to Identifying NOEs

1 H 1 H NOESY

15 N- or 13 C-dispersed 1 H 1 H NOESY 3D 2D 3D 1 H 1 H 1 H 1 H 1 H 4D

Identifying Unique NOEs

Filtered, edited NOE:

based on selection of NOEs from two molecules with unique labeling patterns.

Unlabeled peptide Labeled protein Only NOEs at the interface

Transferred NOE:

based on: 1) faster build-up of NOEs in large versus small molecules; 2) signal of free state when in excess and exchanging quickly

H H k on k off H H Only NOEs from bound state

Hydrogen Bonds C=O H-N

NH chemical shift to low field

Slow rate of NH exchange with solvent

Characteristic pattern of NOEs

(Scalar couplings across the H-bond)

When H-bonding atoms are known

can impose a series of distance/angle constraints to enforce standard H-bond geometries

6 Hz Dihedral Angles From Scalar Couplings • • • •

Must accommodate multiple solutions

multiple J values

But database shows few occupy higher energy conformations

Orientational Constraints From Dipolar (D) Couplings H o Reports angle of inter nuclear vector relative to magnetic field H o F2 F1 F3

Must accommodate multiple solutions

multiple orientations

NMR Structure Calculations

Objective is to determine all conformations consistent with the experimental data

Programs that only do conformational search may lead to bad geometry

use simulations guided by experimental data

Force fields knocked out of balance

Need a reasonable starting structure

NMR data is not perfect: noise, incomplete data

multiple solutions (conformational ensemble)

Variable Resolution of Structures

Secondary structures well defined, loops variable

Interiors well defined, surfaces more variable

Trends the same for backbone and side chains

 

More dynamics at loops/surface Constraints in all directions in the interior

Restraints and Uncertainty

Large # of NOEs = low values of RMSD

Large # of NOEs for key hydrophobic side chains

Assessing the Quality of NMR Structures

Number of experimental constraints

RMSD of structural ensemble (subjective!)

Violation of constraints- number, magnitude

Molecular energies

Comparison to known structures: PROCHECK

Back-calculation of experimental parameters