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Optimizing structure determination

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Optimizing structure determination. How many are we solving? What is the limit? Are we there yet? Why not? What are the biggest problems?. How many are we solving?. http://asdp.bnl.gov/asda/Libraries/pdb_statis/latest/bml/ALS.html. Breaking it down. $$ → photons - PowerPoint PPT Presentation
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Optimizing structure determination How many are we solving? What is the limit? Are we there yet? Why not? What are the biggest problems?
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Page 1: Optimizing structure determination

Optimizing structure determination

How many are we solving?

What is the limit?

Are we there yet?

Why not?

What are the biggest problems?

Page 2: Optimizing structure determination

How many are we solving?http://asdp.bnl.gov/asda/Libraries/pdb_statis/latest/bml/ALS.html

Page 3: Optimizing structure determination

$$ → photons

photons → data

data → models

models → results

results → $$

Breaking it down

Page 4: Optimizing structure determination

Seconds Description Percent

104490 Assigned and available 91%

42093 Shutter open 40%

52684 Collecting (3026 images) 50%

51806 Something else 50%

Operational Efficiency“representative” 8.3.1 user

Page 5: Optimizing structure determination

Seconds Description Percent

51806 Something else 100%

247s 45 Mounting 22%

229s 37 Centering 16%

179s 109

Strategizing 38%

309s 37 Prepping 24%

Operational Efficiency“representative” 8.3.1 user

Page 6: Optimizing structure determination

Number Description Percent

446028 Images (~7 TB) 33%

2346 Data sets 47%

449 MAD/SAD (1:2) 19%

48 Published 2%

8.3.1 in 2003

Turning data into models

Page 7: Optimizing structure determination

Top producing beamlines of the world

0

20

40

60

80

100

120

140

160

180

AP

S 19ID

AL

S 8.3.1

ES

RF

ID14-1

ES

RF

ID14-4

PF

(all 5)

ES

RF

ID14-2

NS

LS

X4A

AP

S 22ID

ES

RF

ID29

AP

S 19B

M

CH

ES

S (all 4)

AL

S 8.2.1

AL

S 5.0.2

HA

SY

LA

B X

11

HA

SY

LA

B B

W6

AL

S 8.2.2

SL

S (b

oth

)

ES

RF

BM

14

SP

RIN

G8 26B

1

AP

S 14B

MC

NS

LS

X25

AL

S 5.0.1

SS

RL

BL

9-1

NS

LS

X12C

2002

2004

http://asdp.bnl.gov/asda/Libraries/pdb_statis/latest/bml/ALL.html

Str

uct

ure

s cr

edit

ed

Page 8: Optimizing structure determination

28 operating US beamlines

~1011 ph/μm2 exposure limit

÷ 2x109 ph/μm2/s

~ 100,000 datasets/year

÷ 1324 str in 2003

~ 2% efficient

What is the limit?

Page 9: Optimizing structure determination

DVD data archive

Page 10: Optimizing structure determination

Elven Automation

Elves examine images andset-up data processing

Elves run…

mosflmscalasolve

mlpharedm

arp/warp

Page 11: Optimizing structure determination

Apr 6 – 24 at ALS 8.3.1

Elven Automation

27,686 images collected

148 datasets (15 MAD)

31 investigators

56 unique cells

5 KDa – 23 MDa asymmetric unit

0.94 – 32 Å resolution (3.2 Å)

Page 12: Optimizing structure determination

Apr 6 – 24 at ALS 8.3.1

Elven Automation

148 datasets

117 succeded

~3.5 (0.1-75) hours

31 failed

~61 (0-231) hours

2 / 15 MAD structures

Page 13: Optimizing structure determination

Overlaps

Signal to noise

Radiation Damage

Why do structures fail?

Page 14: Optimizing structure determination

avoidable overlaps

mosaicity

phi

dete

ctor

c*

b

c

a

Ewald sphere

Page 15: Optimizing structure determination

unavoidable overlaps

mosaicity

phi

dete

ctor

c*

b

c

a

Ewald sphere

Page 16: Optimizing structure determination

Overlaps

Signal to noise

Radiation Damage

Why do structures fail?

Page 17: Optimizing structure determination

MAD phasing simulation

-0.2

0

0.2

0.4

0.6

0.8

1

0.01 0.1 1 10

Anomalous signal to noise ratio

Cor

rela

tion

coef

ficie

nt t

o co

rrec

t m

odel

mlphare results

Page 18: Optimizing structure determination

SAD phasing simulation

-0.2

0

0.2

0.4

0.6

0.8

1

0.01 0.1 1 10

Anomalous signal to noise ratio

Cor

rela

tion

coef

ficie

nt t

o co

rrec

t m

odel

mlphare results

Page 19: Optimizing structure determination

Minimum required signal (MAD/SAD)

"#

)(3.1

fsitesDaMW

sd

I

Page 20: Optimizing structure determination

Is it Is it realreal, or is it , or is it MLFSOMMLFSOM??

Page 21: Optimizing structure determination

“We really need those

high-resolution spots”

Page 22: Optimizing structure determination

Incremental strategy

incremental_strategy.com merged.mtz auto.mat

Page 23: Optimizing structure determination

Overlaps

Signal to noise

Radiation Damage

Why do structures fail?

Page 24: Optimizing structure determination

Distention of cryo with dose

before

Page 25: Optimizing structure determination

Distention of cryo with dose

after

Page 26: Optimizing structure determination

Water ring shiftsaturated sucrose in 250mM WO4

0 MGy

Page 27: Optimizing structure determination

Water ring shiftsaturated sucrose in 250mM WO4

184 MGy

Page 28: Optimizing structure determination

Water ring shift

40

50

60

70

80

90

100

0.00 0.07 0.13 0.20 0.27

0 MGy

37 MGy80 MGy

187 MGy

Resolution (Ǻ)

Ph

oto

ns/

s/p

ixel

7.5 3.8 2.5 1.9 1.5

saturated sucrose in 250mM WO4

Page 29: Optimizing structure determination

Protein crystal background

Page 30: Optimizing structure determination

Water ring shift

3.678

3.679

3.68

3.681

3.682

3.683

3.684

3.685

3.686

0 10 20 30 40 50 60

Absorbed dose (MGy)

Wat

er r

ing

posi

tion

(Ǻ)

GCN4-p1-N16A trigonal crystal

3.555

3.565

3.575

3.585

3.595

3.605

3.615

crystal backgroundsaturated sucrose

Page 31: Optimizing structure determination

Water ring shift

http://www.lsbu.ac.uk/water/amorph.html

Page 32: Optimizing structure determination

Water ring shiftbubbles?

Richard D. Leapman, Songquan Sun, Ultramicroscopy (1995)

Page 33: Optimizing structure determination

Water ring shiftHydrogen bubbles?

Richard D. Leapman, Songquan Sun, Ultramicroscopy (1995)

Page 34: Optimizing structure determination

Water ring shiftHydrogen bubbles?

http://www.rcdc.nd.edu/compilations/Rxn.pdf

“The hydrogen atom reacts with organic compounds by abstracting H from saturated molecules and by adding to centers of unsaturation,

for example,

Page 35: Optimizing structure determination

Damage model system

Page 36: Optimizing structure determination

Data quality vs phasing quality

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0 20 40 60 80 100

model vs warpwarp vs experiment

Exposure time (min)

Cor

rela

tion

coef

ficie

nt

Page 37: Optimizing structure determination

Individual atoms decay at different rates

00.10.20.30.40.50.60.70.80.9

1

0 20 40 60 80 100

all atoms

Se #1

Se #5

Exposure time (min)

Cor

rela

tion

coef

ficie

nt t

o ob

serv

ed d

ata

Page 38: Optimizing structure determination

Damage changes fluorescence spectrum

0

500

1000

1500

2000

2500

3000

3500

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4500

50001

26

40

12

64

5

12

65

0

12

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66

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68

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68

5

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69

0

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69

5

12

70

0

beforebeforeburntburnt

Photon energy (eV)

coun

ts

Page 39: Optimizing structure determination

Damage changes fluorescence spectrum

fluence (103 photons/mm2)

Fra

ctio

n u

nco

nve

rted

25mM SeMet in 25% glycerol

0.

0

0

.2

0

.4

0.6

0.8

1.0

0 20 40 60 80 100 120

Exposing at 12680 eV

Se cross-section at 12680 eV

Page 40: Optimizing structure determination

fluorescence probe for damage

Absorbed Dose (MGy)

Fra

ctio

n u

nco

nve

rted

Wide range of decay rates seen

0.

0

0

.2

0.4

0.6

0

.8

1.0

0 50 100 150 200

Half-dose = 41.7 ± 4 MGy“GCN4” in crystal

Half-dose = 5.5 ± 0.6 MGy8 mM SeMet in NaOH

Protection factor: 660% ± 94%

Page 41: Optimizing structure determination

“Can we do more

with what we’ve got?”

Page 42: Optimizing structure determination

Interleaved Schedulingexperiment queue beamline

Minor 30s

Choe 120s

Alberta 60s

Alberta 60s

Choe 30s

Minor 30s

Page 43: Optimizing structure determination

SuperTongSuper Tong

Page 44: Optimizing structure determination

SuperTong

Page 45: Optimizing structure determination

“infinite capacity” sample carousel

Page 46: Optimizing structure determination

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Page 47: Optimizing structure determination

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