“Non-Bragg” Scattering from Protein Crystals · 2013. 12. 19. · General statement about...

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“Non-Bragg” Scattering from Protein Crystals George N. Phillips Jr. Center for Eukaryotic Structural Genomics Departments of Biochemistry and Computer Sciences University of Wisconsin, Madison

Transcript of “Non-Bragg” Scattering from Protein Crystals · 2013. 12. 19. · General statement about...

Page 1: “Non-Bragg” Scattering from Protein Crystals · 2013. 12. 19. · General statement about variational scatter Whatever units are varying in non-correlated ways have their intensity

“Non-Bragg” Scattering from Protein Crystals

George N. Phillips Jr.

Center for Eukaryotic Structural GenomicsDepartments of Biochemistry and Computer Sciences

University of Wisconsin, Madison

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Introduction

• Crystallography (usually) confuses the space and time averages.

• Dynamic behavior remains--There IS temperature dependence, both kT-ish and energy landscapes more shallow

• The crystal lattice constrains the ‘dynamics’ to varying degrees

• Even when cooled, an ensemble of structures remains

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Molecules don’t do exactly the same thing in every unit cell--even having symmetry

is an approximation

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NMR and Crystallography:comparison of backbone

dynamics

Main chain variations from NMR ensemble and various crystalforms of myoglobin.

Kondrashov, Zhang, Aranda, Stec, and Phillips Proteins 2008

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0

0.05

0.1

0.15

0.2

0.25

0.3

-7 -5 -3 -1 1 3 5

Projection on first principal component (Å)

Prob

abili

ty d

ensi

ty

Levin, Kondrashov, Wesenberg, Phillips, Structure (2007)

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Entire Dimeric Protein

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Manifold 1

Manifold 2

Signal: 4x10-2 ph/pixel

0 2

2

4

Correct Orientation

Ded

uced

O

rient

atio

n

Ensemble of Two Conformations Deconvolvedfrom Simulated FELS data

Adenylate Kinase: Open and Closed

Open

Closed

Schwander, Fung, Phillips, Ourmazd, NJP (2010)

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What about Calculation/Modeling of

Motions

• All-atom MD (slow)• New coarse-grained models work

surprisingly well!

Riccardi, Cui, Phillips Biophys J 2009

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Define Diffuse Scatter?

• Water diffraction? Yes• Capilllary diffraction? No, subtract it• Air Scatter? No, subtract it• Protein variational scattering? Yes

eBS2

versus 1 eBS2

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Diffuse X-ray Scattering

• Has information about displacements from the average structure

• Illustrates intrinsic mechanical properties of the macromolecule

• Couples with lattice motions• Any one snapshot is ‘coherent’,

averages over time or crystals are not.Clarage and Phillips, Methods Enz. 1997

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Diffuse scattering depends on correlationed displacements

Wall, Clarage and Phillips Structure1997

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Tropomyosin and its motionsin the crystal

Chacko and Phillips, Biophys J.

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tRNA motions

Kolatkar and Phillips, Acta D.

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General statement about variational scatter

Whatever units are varying in non-correlated wayshave their intensity transforms added as diffuse scatter.

In protein crystals, this will always be some atoms, some sidechains, and sometimes domains, whole molecules, or lattice coupled longer range assemblies.

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How do coupled motions affect X-ray scattering?

•The Bragg diffraction is changed to some degree

•Diffuse scattering appears between (and underneath) the Bragg spots

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Kinematic Theory(Thompson Scattering)

I Q FF * kQf

lk

N

iQRlke

kQ

*fl 'k '

N

iQRl 'k 'e

Assuming identical unit cells,

I H FF * kHf

k

n

iH Rke

kH

*fk '

n

iH Rk 'e

where H is restricted to integer triples

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Time (and space) averaging

Average position for atomin lth unit cell and kth atom in the cell

Displacement from average

Rlk rlk ulk

I(Q) kQf kQ

*f iQ(rlkrl 'k ' )e iQ(ulkul 'k ' )el 'k '

lk

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The usual approximation

Willis and Pryor, eqn 4.43

James, pg 23. The last term is usually dropped without mention.

iQ(ulkul 'k ' )e e{Q(ulkul 'k ' )}2 /2

{Q (ulk ul 'k ' )}2 (Q ulk )2 (Q ul 'k ' )

2 2(Q ulk )(Q ul 'k ' )

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Kinematic TreatmentGeneral expression

For a crystal with identical unit cells and isotropic displacements

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Where to get the correlation terms?

The inverse of the Kirchoff matrix or other Elastic Network models not only provide “B-factors”, but also covariance terms.

Compared to inorganic or small molecule structures, proteins have many more local (optical) modes, and they are all ignored at present in diffraction studies.

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TnC rigid Covariance Matrix

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How do we get any structure right?

• “Lucky Larry” The diffraction the Bragg peak is miscalculated, but by subtracting the intensity around the peak, the oversight is corrected (to first order)

• The ‘richer’ the diffuse scatter, the worse is this approximation?

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XFEL/ERL allows new approachesto biological structure

Single particle cultureCryo-EM

Crystallography culture“Infinite”, but mosaic crystal

Hybrid cultureSome symmetry,

i.e. icosahedral or translationalStructures from “less hard to make”, in situ samples!

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Fraction of interior unit cells

((n-2)/n )3

00.10.20.30.40.50.60.70.80.9

1

1 4 16 64 256 1024

Frac

tion

of in

terio

r cel

ls

Number of unit cells on an edge

1 m crystal with 100 Å cell = 100 unit cells on an edge

Better crystals?

Critical nucleus size limit?

Singleparticles

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There exist an ensemble within nanocrystals AND the nanocrystals vary

Edge molecules will add significantly to the complication of the analysis. According to the buildup method with thousands of nanocrystals,intensities of different structures will be added ‘incoherently”.

The “instantaneous” structure and scattering of the solvent around the protein will also be problematic.

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Edge effects on Scattering/Data Processing

(after Spence, Lattman)

1molecule (Linf Cubefinite ) (1molecule Linf )Cubefinite

FT (1molecule ) (FT (Linf ) FT (Cubefinite ) FT (1molecule )FT (Linf ) FT (Cubefinite )

Fringes sample the molecular transform; adding fringes thus complicating integration of the “spot”

If edges are largely ‘disordered’ and don’t contribute except at very low resolution, fringes will scale with Bragg spots instead of varying

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Folding Coordinate

Ene

rgy

Entropy

One point: Variability in the samples will (eventually) limit what can be done. Need to manage the conformations of proteins for XFEL studies and learn to deal with variation, even learn from it!

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Acknowledgements

NIH, NSF, DOE, WARF– Elena Levin– Dmitri Kondrashov– Jason McCoy– Ryan Bannen– Roman Aranda– Andre Francis– Friedrich Schotte– Philip Anfinrud– Anand Kolatkar

– Gary Wesenberg– Craig Bingman– Ed Bitto– Michael Wall– Wei Zhang– Bog Stec– Sibsankar Kundu– Euiyoung Bae– Demian Riccardi

– All other members