The Power of Powder: Protein Based Drug Screening€¦ · • “Macromolecular Powder...
Transcript of The Power of Powder: Protein Based Drug Screening€¦ · • “Macromolecular Powder...
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The Power of Powder:
Protein Based Drug Screening
Irene Margiolaki University of Patras, Greece
& Hellenic Crystallographic Association
www.hecra.gr
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This document was presented at PPXRD -Pharmaceutical Powder X-ray Diffraction Symposium
Sponsored by The International Centre for Diffraction Data
This presentation is provided by the International Centre for Diffraction Data in cooperation with the authors and presenters of the PPXRD symposia for the express purpose of educating the scientific community.
All copyrights for the presentation are retained by the original authors.
The ICDD has received permission from the authors to post this material on our website and make the material available for viewing. Usage is restricted for the purposes of education and scientific research.
ICDD Website - www.icdd.comPPXRD Website – www.icdd.com/ppxrd
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STRATEGY
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WHO?
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Method development
EU
UPAT
ESRF
PANalytical
NanoMEGAS
Novo Nordisk
NETWORK
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X-RAY CRYSTALLOGRAPHY / STRUCTURAL BIOLOGY
GROUP, DEPARTMENT OF BIOLOGY, UPAT
Fotini Karavassili (PhD) Alexandros Valmas (PhD)
Stavroula Fili (M.Sc.) Konstantina Magiouf (BSc.)
Danae Lachana (BSc.) Suzanna Logotheti (BSc.)
Stefanos Saslis (B.Sc.) Nikos Nikolopoulos (B.Sc.)
5
Our Team:
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6
Andy Fitch
Jon Wright
Yves Watier
European Synchrotron Radiation Facility ESRF, Grenoble, France
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PANalytical
PANalytical, Almelo
Detlef Beckers
Thomas Degen
Celeste Reiss
Stjepan Prugovecki
Martijn Fransen
Gwilerm Nenert
UPAT, PATRAS
Stavroula Fili,
Partha Das (Former Scientist)
Fotini Karavassili
Alexandros Valmas
Konstantina Magiouf
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Reviews
I. Margiolaki* & J. P. Wright*, Acta Cryst. A - Invited Review Article for Special Issue of IUCR[1]
• "Powder Crystallography on Macromolecules",
Acta Cryst. A64, 169-180 (2008) I. Margiolaki & J. P. Wright
• “Macromolecular Powder Diffraction”,
Book Chapter for the International Tables of Crystallography-
Volume H: Powder Diffraction, In Press I. Margiolaki
• “Macromolecular Powder Diffraction: Ready for genuine biological problems”
Protein & Peptide Letters, In Press F. Karavassili & I. Margiolaki
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What are the options?
NMR Spectroscopy X-ray Single Crystal
Diffraction
No need of crystals
Maximum MW limit
Crystals of ~ 50 - 100 μm
Crystallization may be problematic
Evans, G., Axford, D., Waterman, D., Owen, R.L.
Macromolecular microcrystallography.
Crystallography Reviews. 17, 105-142. 2011
Bieri M, Kwan AH, Mobli M, King GF, Mackay JP, Gooley PR.
Macromolecular NMR spectroscopy for the non-
spectroscopist: beyond macromolecular solution structure
determination.
FEBS J. 2011 Mar;278(5):704-15. 2011
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Can we extract any structural information
from a protein polycrystalline sample?
Protein Crystalline Precipitates
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1980-1984: Micro-
crystals diffracting
to 30-40 Å (powder
patterns to 3.5 Å)
Preliminary powder data in the 80s
1985-1987
3 dimensional image
reconstruction by EM
at 25 Å showing the
internal ribosomal
tunnel
1986: excellent
diffraction, but
sever X-ray
damage:
Introducing cryo
bio- crystallography time-0 ; after 1 second Courtesy: Ada Yonath
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The first protein structure refinement using powder diffraction data:
Whale Metmyoglobin
R. B. Von Dreele
J. Appl. Cryst. (1999). 32, 1084-1089
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Protein Crystalline Precipitates
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GOOD VS BAD PRECIPITATES
Courtesy: Prof. Terese Bergfors, http://xray.bmc.uu.se/~terese/tutorial2.html
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Protein crystallization and phase diagrams: Neer Asherie, Methods 34 (2004) 266–272
Protein Crystallization & Phase Diagrams
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PROTEIN POWDERS
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A VIRUS PROTEIN DOMAIN “SINGLE URCHIN” IN A GRID
http://www.mitegen.com/
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EMBL HC1b device
ID14- 2, PILATUS area detector λ=0.9934 Å Matthew Bowler, Yves Watier, Nicolas Papageorgiou
Papageorgiou et al., Z. Kristallogr. 225, 576–580 (2010)
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PRESENTATION
• Data Collection
SR-XRPD + LAB XRPD
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http://www.spring8.or.jp/en/
1999 - present
ESRF- Grenoble, France
New collaborations with other synchrotrons
http://www.psi.ch/sls/ http://www.synchrotron-soleil.fr/
FRANCE JAPAN SWITZERLAND
http://www.spring8.or.jp/en/
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ID31: High Resolution Powder diffraction
Beamline
Detection of scattered beam using 9
APD detectors and 9 Si(111) analyser
crystals
Thanks to J.-L. Hodeau, M. Anne, P. Bordet, A. Prat, CNRS, Grenoble.
Fitch, J. Res. Natl. Inst. Stand. Technol. 109, 133-142 (2004)
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212019181716151413121110987654321
19,000
18,000
17,000
16,000
15,000
14,000
13,000
12,000
11,000
10,000
9,000
8,000
7,000
6,000
5,000
4,000
3,000
2,000
1,000
0
-1,000
-2,000
-3,000
-4,000
hkl_Phase 0.00 %
hkl_Phase 0.00 %
22212019181716151413121110987654
2,700
2,600
2,500
2,400
2,300
2,200
2,100
2,000
1,900
1,800
1,700
1,600
1,500
1,400
1,300
1,200
1,100
1,000
900
800
700
600
500
400
300
200
100
0
-100
-200
hkl_Phase 0.00 %
hkl_Phase 0.00 %
2Th Degrees65.85.65.45.254.84.64.44.243.83.63.43.232.82.6
Inte
nsity (
Co
un
ts)
5,000
4,500
4,000
3,500
3,000
2,500
2,000
1,500
1,000
500
0
-500
hkl_Phase 0.00 %
ID31- λ= 1.300870(15) Å, LeBail fit in TOPAS
I222, a= 80.1888(5) Å, b= 96.2721(5) Å, c= 105.5448(5) Å
Sanofi Aventis
Uox complexed with its inhibitor 8-azaxanthine
0% PEG, pH 7.5
Margiolaki & Wright, Acta Cryst. A64, 169-180 (2008); Collings et al. Acta Cryst. D66, 539-548 (2010)
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LAB DIFFRACTOMETER
X’ PERT PRO BY PANALYTICAL
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Insulin + nitrophenol (T3R3)
PAWLEY FIT OF LAB DATA
Valmas et al. Acta Cryst. (2015). D71, 819–828;
Novo Nordisk, Copenhagen
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POWDER DIFFRACTION:
A POWERFUL QUALITY CONTROL TOOL
FOR
PROTEIN- BASED DRUG SCREENING
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ASPECTS OF OUR STUDIES
▪ Polymorph Identification
▪ Structure solution of novel polymorphs
▪ Structure refinement
▪ Ligand identification using powder data
1
2
3
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UNIVERSITY - INDUSTRY COLLABORATION
Research Collaborators
Gerd Schluckebier & Mathias Norrman
Novo Nordisk, Copenhagen
Diabetes Protein Engineering
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THE CASE OF HUMAN INSULIN
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INSULIN HEXAMERIC CONFORMATIONS
• T6 B1-B8 EXTENDED CONFORMATION
• R6 B1-B8 HELICAL CONFORMATION
T3R3 3 MONOMERS B1-B3 EXTENDED
Β4-Β8 HELICAL
3 MONOMERS : Β1-Β8 EXTENDED
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• Several polymorphs exist depending on pH of crystallization and
concentration of additives.
• Great interest in finding new forms of potentially therapeutic applications.
• Study microcrystalline insulin crystallized as a function of pH (4 8.9) and
with phenol – based additives.
• Extremelly rich phase diagram.
MICROCRYSTALLINE INSULIN
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HUMAN INSULIN – LIGAND COMPLEXES
CRYSTALLINE PRECIPITATES
PHENOL RESORCINOL
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NEW
FORM C 2221
C 2 P 21
pH<5.6
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P21
a = 114.85 Å
b = 334.89 Å
c = 49.36 Å
= 103.36º
v = 1.85 million Å3
NEW POLYMORPH
pH 5.18 + resorcinol or phenol
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5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5
1.2x105
1.5x105
1.8x106
2.7x106
P21()C222
1P2
1()
Un
it C
ell
Vo
lum
e (Å
3)
pH
(b)
pH pH
phenol resorcinol
new
P 21
new
P 21
Karavassili et al., Acta Cryst. (2012). D68, 1632–1641
C2221 C2 P21
5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5
2.0x105
1.8x106
2.7x106
P21()
C2C2221 P2
1()
Un
it C
ell
Vo
lum
e (
Å3)
(a)
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HUMAN INSULIN – LIGAND COMPLEXES
CRYSTALLINE PRECIPITATES
M-cresol 4-nitrophenol
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HUMAN INSULIN – LIGAND COMPLEXES
CRYSTALLINE PRECIPITATES
M-cresol
4-nitrophenol
Low pH High pH
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Valmas et al. Acta Cryst. (2015). D71, 819–828
ESRF- ID31
[λ = 1.29989 (3) Å, RT]
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Valmas et al. Acta Cryst. (2015). D71, 819–828
HighScore Plus software
(Degen et al., Powder Diffr. 29, S13–S18
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PHASE IDENTIFICATION
Valmas et al. Acta Cryst. (2015). D71, 819–828;
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RESULTS ON THE NEWS
http://mag.digitalpc.co.uk/fvx/iop/esrf/1503/
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ASPECTS OF OUR STUDIES
Polymorph Identification
▪ Crystal Screening
▪ Structure solution of novel polymorphs
▪ Structure refinement
▪ Ligand identification using powder data
2
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PRESENTATION
• Structure Solution via MR
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Doebbler, J. A. & Von Dreele, R. B.
Application of molecular replacement to protein powder data
from image plates.
Acta Cryst. D65, 348–355 (2009)
A NICE REVIEW ON MR
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Collaboration with
EMBL – Hamburg
Mathias Wilmanns
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AN UNKNOWN PROTEIN STRUCTURE SOLVED FROM POWDERS
P212121, a= 24.70420(9) Å, b= 36.42638(14) Å,
c= 72.09804(26) Å
The Second SH3 domain of Ponsin
I. Margiolaki, J. P. Wright, M. Wilmanns, A. N. Fitch & N. Pinotsis
J. Am. Chem. Soc. 129, 11865-11871 (2007).
Q (Å-1)
0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6
Inte
nsity (
arb
itra
ry u
nits)
-1000
0
1000
2000
1.30 1.35 1.40 1.45 1.50 1.55 1.60
0
200
400
600
800
1000
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Procedure followed for data analysis for SH3.2
Bhat, T. N. Calculation of an OMIT map. J. Appl. Cryst., 21, 279-281 (1988,)
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SH3.2: The final model
http://www.esrf.eu/news/general-old/general-2007/powder/
I. Margiolaki, J. P. Wright, M. Wilmanns, A. N. Fitch & N. Pinotsis. Second SH3 domain of ponsin solved from powder diffraction
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY 129 (38): 11865-11871 SEP 26 2007
544 protein atoms and 36 water molecules were identified
in total OMIT and difference electron density maps.
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PRESENTATION
• Structure Solution via MIR
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TEST SYSTEM
protein
Hen
egg-white
Lysozyme
(HEWL)
Molecular weight
Unit-cell (Å)
Space-group
14.4 kDa
a=b=79.2 c=38.0
P43212
Relative root mean
square intensity
change
(Crick and
Magdoff)
Gd (Z=64) : 0.40
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HEWL + Gd (Co-crystallisation)
Blue: Native
Red: +Gd
Wright et al., J. Appl. Cryst. 41, 329-339 (2008) & ESRF Scientific Highlights, p. 61-62 (2006).
Native HEWL to Gd derivative
Blue: Native
Red: +Gd
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THE SECONDARY STRUCTURE
• Using FFFEAR we are able to locate all the four helices of the lyzosyme
structure out of the five best fitted helices found by the program using the
standard fragment library.
Basso et al. Acta Crystallogr D Biol Crystallogr. 2010; 66(Pt 7):756-61.
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THE HEWL MIR DENSITY MAP
Images created by Sebastian Basso
http://infoscience.epfl.ch/record/167174
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ASPECTS OF OUR STUDIES
▪ Polymorph Identification
▪ Crystal Screening
▪ Structure solution of novel polymorphs
▪ Structure refinement
▪ Ligand identification using powder data 3
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• COMBINED MULTIPLE PROFILES
• PERIODIC EXAMINATION OF TOTAL OMIT MAPS GENERATED
FOLLOWING BHAT’S PROCEDURE
• SYNERGY OF VARIOUS SOFTWARE PACKAGES
KEYPOINTS
Bhat, T. N. Calculation of an OMIT map. J. Appl. Cryst., 21, 279-281 (1988,)
I. Margiolaki & J. P. Wright, Acta Cryst. A64, 169-180 (2008)
Wright et al. Z. Kristallogr. Suppl. 26, 27-32 (2007)
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SOFTWARE USED
Powder Diffraction & CCP14 Single Crystal & CCP4 Home made
ESRF, APS
Area detector data integration
Fit2D
Indexing
DASH
Indexing & Pawley fit
HighScorePLUS
Data viewer
FULLPROF
Structure Rietveld refinement
GSAS
CCP4 software package
Molecular Replacement
MOLREP
PHASER
Structure Refinement
CNS
REFMAC
PHOENIX
Visualization Tools
WINCOOT
PYMOL
CHIMERA
Pawley fit
PRODD
Total Omit maps
SFCHECK
(modified version)
Data Extraction from
Synchrotron
Short routines in
PYTHON
Pycluster
ID31sum
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PRESENTATION
Structure Refinement
The Flexible Rigid Body Approach in GSAS
Larson A. C. & Von Dreele R. B. (2004). General Structure Analysis System
(GSAS), Los Alamos National Laboratory Report LAUR 86-748.
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ENHANCED STRUCTURE REFINEMENTS
Rigid body description of amino acids
Margiolaki et al.
Acta Cryst. (2013). D69, 978–990
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Human Insulin microcrystals
co-crystallised with m-cresol
Optical Microscope Transmission Electron Microscope
THE KNOWN POLYMORPH R3 WITH ADDITIONAL LIGAND SITES
(R6 CONFORMATION)
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FRB RIETVELD ANALYSIS:
8 COMBINED SR-XRPD AND LAB- XRPD PROFILES
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FITTING OF MODEL TO OMIT MAP
62
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THE KNOWN POLYMORPH R3 WITH ADDITIONAL LIGAND SITES
(R6 CONFORMATION)
Karavassili et al., In Preparation
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PRESENTATION
• Future & Concluding Remarks
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FUTURE
• CRYSTAL SCREENING
Polymorph Identification & Ligand Binding
Crystal size and morphology (XFEL)
Phase Mapping
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FUTURE
• COMBINED USE WITH
XFEL measurements on nano-crystalline precipitates
Electron Diffraction on single nano-crystals
• Spence, Weierstall, Chapman , Rep. Prog. Phys. 75, 102601, 2012
Barty, Küpper, Chapman , Annual Review of Physical Chemistry 01/2013
• Three-dimensional electron crystallography of protein microcrystals
Shi et al., 2013, eLIFE
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UPAT, Greece
S. Fili
F. Karavasili
A. Valmas
D. Lahana
S. Logotheti
S. Salsis
N. Nikolopoulos
Former members:
P. P. Das
A. Stewart
K. Magiouf
A. E. Giannopoulou
M. Kalatha
E. Kotsiliti
ESRF, Grenoble
Andy Fitch
Jon Wright
Yves Watier
The ID31 team
Former members :
Lucy Saunders
Ines Collings
Sotonye Dagogo
Lisa Knight
Mark Jenner
Sebastian Basso
ACKNOWLEDGMENTS
X-RAY DIFFRACTION
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COLLABORATORS
EMBL, Hamburg
Nikos Pinotsis
Matthias Wilmanns
APS, Chicago
Bob Von Dreele
Soleil, Paris
Gavin Fox
EPFL, Lausanne
Marc Schiltz
Celine Besnard
CINaM, Marseille
Marion Giffard
Françoise Bonneté
AFMB, Marseille
Bruno Canard
Nicolas Papageorgiou
Bruno Coutard
Violaine Lantez
Novo Nordisk, Copenhagen
Gerd Schluckebier
Mathias Norrman
PaNalytical, Netherlands
Detlef Beckers
Thomas Degen
Celeste Reiss
Stjepan Prugovecki
Martijn Fransen
University of Manchester
John Helliwell
University of Amsterdam
Henk Schenk
University of
Geneva
Radovan Cerny
Nanomegas
Stavros Nicolopoulos
Bruker, Germany
Diederik Ellerbroek,
Cees Baas
Patrick Romijn
Robbert Jan Brandenburg Sanofi Aventis, Montpellier
Mohamed El Hajji
Bertrand Castro
Excelsus Structural
Solutions SPRL
Fabia Gozzo
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IAEA
Coordinated Research Project (CRP) on
“Utilisation of accelerator-based real-time
and in-situ methods in investigation of
materials for energy applications”
2012-2015
CRP code: F12024
UNESCO & L’OREAL Foundations
International
Fellowship for Women in Science
2010-2012
Nanomegas
Stavros Nicolopoulos
2012-Present
EU & University of Patras
• FP7: SEE-DRUG
PI: George Spyroulias
http://www.seedrug.upatras.gr/
2012-2015
• Aristeia II
PI: Irene Margiolaki
2014-2015
• COST
PI: Fraser McMillan
2014-2018
FUNDING