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WAXS going beyond SAXS Lee Makowski Northeastern University - PowerPoint PPT Presentation

WAXS going beyond SAXS Lee Makowski Northeastern University Boston WAXS (wide angle x-ray solution scattering) What can you gain by collecting to the highest possible resolution? Cannot use WAXS to directly calculate structure


  1. WAXS – going beyond SAXS Lee Makowski Northeastern University Boston

  2. • WAXS (wide angle x-ray solution scattering) • What can you gain by collecting to the highest possible resolution? • Cannot use WAXS to directly calculate structure (ambiguous once away from the SAXS regime) • BUT can be an excellent tool for testing molecular models (because we can quantitatively calculate WAXS data from molecular models) • Can add to SAXS information in details about: • Ligand binding • Protein ensembles • Structural changes

  3. Advanced Photon Source �

  4. WAXS Experiment Sector 18 – Advanced Photon Source X-ray beam typically 140x40 microns 10 12 -10 13 photons per second Flow cell (100 ms x-ray exposure) Temperature controlled 1.5 mm path length (typical) 10 microliter sample volumes possible > 5 mg/ml concentration preferred

  5. WAXS Data Set from Hb – 150 mg/ml buffer 1 mg/ml 100 mg/ml 10 mg/ml Iprot = Iobs - Icap - (1-vol%)Isolvent Wide angle Data ~ 100x scatter weaker than SAXS largely due to buffer; capillary Protein (x10) Each data set is composed of circularly averaged scattering from (i) Empty capillary (ii) Buffer-filled capillary Buffer-filled (iii) Protein solution-filled capillary capillary buffer Protein solution 1/d = q/(2 π ) = 2 sin θ / λ Empty capillary Physicists use q (Å -1 ) Structural biologists use 1/d (Å -1 )

  6. That’s nice… What does it mean? What kind of information is really in the pattern?

  7. Nature of the information in WAXS • Debye Formula – WAXS is a reflection of interatomic vector lengths (r ij ): I (q) = Σ I i (q) + 2 ΣΣ F i (q) F j (q) (sin(qr ij )/(qr ij )) • Can be used to calculate p(r) • Can in principle be calculated from atomic coordinate set • Very sensitive to structural changes at all length scales (literally a histogram of the lengths of all interatomic vectors in the protein • Size and shape (radius of gyration) • Tertiary/quaternary structure • Secondary structure Molecular envelopes are limited in – Alpha helices resolution no matter how much data you • 1.5 Å axial separation of amino acids along helix collect – wider angle data cannot be • 5.4 Å pitch used to construct unique shapes; • 10 Å diameter (center-to-center distance) correspond to internal structural – Beta sheets • 4.7 Å strand-to-strand distance patterns • 7.0 Å pleat distance (2 residue separation)

  8. 10 WAXS pattern is a band-limited function 8 log(eigenvalue) 6 � Shannon Sampling theorem indicates for ~ 25 A diameter protein; � q~1.2: ~ 10 independent samples 4 � q~3.0 ~ 25 independent samples 2 q < 3.0 A-1 > Treat each scattering pattern as a vector… q < 1.2 A-1 0 > Look at distribution of proteins in this high-dimensionality space 500 distinct protein domains 0 5 10 15 20 25 30 35 40 45 50 order > major structural classes segregate in that space properties 2; 3; 4 alphas and betas 20 15 10 Parameter 4 5 a t a 0 D Z P -5 a r a closest -10 40 m furthest 20 X Data 0 e -15 -20 t -40 e -60 r -20 -80 20 10 0 -10 2 -20 Y D a t a Parameter 3 a-2 vs a-3 vs a-4 b-2 vs b-3 vs b-4 Makowski, L., D.J. Rodi, S. Mandava, S. Devrapahli, and R.F. Fischetti (2008) Characterization of Protein Fold using Wide Angle X-ray Solution Scattering. J. Mol. Biol. 383 , 731-744.

  9. q ~ 0.6 Å -1 Segregation only is clear at very high resolution ~ q>2.5 q ~ 1.2 Å -1 So – there certainly exists information about secondary and tertiary q ~ 2.4 Å -1 structure – but not going to be finding protein fold anytime soon

  10. To be a rigorous test of molecular models it will be necessary to calculate scattering from atomic coordinate sets CRYSOL is fabulous at small angles, but at wider angles, a uniform hydration layer is inadequate (which - in and of itself says something about the power of WAXS )

  11. Accurate Calculation of WAXS data from atomic coordinates •WAXS patterns were computed from proteins using explicit atomic representations for water. •Proteins were placed in droplets generated by MD simulations and scattering was calculated using an average over 100 snapshots. •Water contribution was accounted for by subtraction of scattering from droplets containing water without proteins. XS

  12. KEY to WAXS – can predict quantitatively the data expected from a given molecular model… 1000 800 Mb - calculated relative intensity 146.7 mg/ml - observed 600 400 Discrepancies; where they exist, often involve 200 experimental data with weakened peaks or filled in troughs. 0 0.00 0.05 0.10 0.15 0.20 1/d Success of this approach also provides strong evidence that MD approaches are getting water of hydration correct

  13. Park, S., J. P. Bardhan, B. Roux, and L. Makowski (2009) Simulated X-Ray Scattering of Protein Solutions Using Explicit- Solvent Molecular Dynamics. J. Chem. Phys. 130 , 134114. PMID: 19355724 Yang, S., S. Park, L. Makowski, and B. Roux (2009) A Rapid Coarse Residue-Based Computational Method for X-Ray Solution Scattering Characterization of Protein Folds and Multiple Conformational States of Large Protein Complexes. Biop. J. 96 , 4449–4463. PMID: 19486669 Bardhan, J.P., S. Park, and L. Makowski (2009) SoftWAXS: A Computational Tool for Modeling Wide-Angle X-ray Solution Scattering from Biomolecules. J.. Appl. Cryst. 42 , 932-943 Virtanen, J.J., L. Makowski, T.R. Sosnick and K.F. Freed (2010) Modeling the hydration layer around Proteins: HyPred. Biop. J. 99, 1611-1619. PMID: 20816074.

  14. … great… what can we do with it? can we see ligand-induced structural changes?

  15. Ligand binding results in structural changes readily observed by WAXS 1000 +Ca ++ 800 -Ca ++ relative intensity 600 400 200 0 0.0 0.1 0.2 0.3 0.4 1/d Calmodulin +/- Ca ++ 400 300 When Ca ++ added, difference intensity 200 difference intensity is very 100 distinct 0 0.0 0.1 0.2 0.3 0.4 1/d

  16. Riboflavin Kinase (RFK,) is an essential enzyme which has been demonstrated to bind its two small molecule ligands at adjacent sites on the surface of the molecule black – apo blue – ATP red - riboflavin • Each ligand (riboflavin and ATP) modulates the protein in such a manner as to shift a surface flap to a new position. Not only does the addition of each ligand produce a statistically significant change in the scattering profile (reduced chi square, χ υ = 2.94 for ATP and 2.90 for riboflavin respectively vs. apo RFK normalized for error), but the profiles for ATP and riboflavin are virtually indistinguishable ( χ υ = 0.03 between the two ligand-bound forms).

  17. Everybody’s been talking about ensembles…

  18. What is the impact of structural polymorphism (ensemble) on solution scattering? 2e+6 14 A radius 15 A radius 15 A radius average of 14-16 A radii 2e+6 relative intensity relative intensity 16 A radius average of 13-17 A radii 1e+6 5e+5 0 0.00 0.05 0.10 0.15 0.20 0.25 0.00 0.05 0.10 0.15 0.20 0.25 1/d 1/d scattering from a solution of all scattering from spheres of three spheres looks like the 14; 15 and 16 Å radius average sphere but with minima minima at ~ 1/(radius) filled in and maxima muted so…the broader the ensemble; the greater the effect WAXS is highly sensitive to this effect…

  19. Hemoglobin - ensemble changes as function of protein concentration 3000 20 hemoglobin patterns from 4 mg/ml 2500 to 270 mg/ml 2000 relative intensity 1500 1000 500 0 0.0 0.1 0.2 0.3 0.4 1/d At concentrations below about 50 mg/ml, the scattering from met-Hb indicates a progressive increase in polydispersity - broadening of the structural ensemble. Lack of change in higher angle scatter suggests this is due to rigid body motions

  20. Can decrease motion of subunits - di- α Hb is a variant in which the two α α 2 α α α -chains are covalent linked at their termini val1 α α 1 α α arg1 1.20 41 0.0660 A -1 1.15 1.10 relative intensity 1.05 1.00 600 0.95 di-alpha (10 mg/ml) relative intensity HbCO (10 mg/ml) 0.90 400 0 20 40 60 80 100 120 140 160 180 concentration (mg/ml) di- α -Hb appears far more rigid than 200 CO-Hb 0 suggests that rigid bodies are the 0.0 0.1 0.2 0.3 0.4 1/d subunits – (why should this linkage should alter helix motion?)

  21. Molten globules of β β -lactoglobulin β β Forms molten globules at ethanol concentrations of 25-40% Samples in the 25-40% EtOH range appear to have an intermediate structure (molten globule form) distinct from native and from denatured 0-12% native dimer 20% native monomer

  22. WAXS of β -lactoglobulin at varying ethanol concentrations 4.7 A peak does not disappear in ‘molten globule’ or ‘denatured’ state

  23. HIV Protease 48 Active site protected by two 'flaps' 63 When inhibitors (or substrate) bind to active site flaps fold down over them Their flexibility is required for access to active site Extensive information available on mutants including MDR All studies use Q7K to prevent self-digestion Consider two mutants: T80N - invariant in both treated and untreated populations G48V L63P - MDR

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