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Toward the automation of biological structure determination Thomas Earnest Berkeley Center for Structural Biology Physical Biosciences Division Lawrence Berkeley National Laboratory

Toward the automation of biological structure determination Thomas Earnest

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Toward the automation of biological structure determination Thomas Earnest Berkeley Center for Structural Biology Physical Biosciences Division Lawrence Berkeley National Laboratory. Manual mounting and alignment. micro-scope. cryostream. gripper. goniometer/ XYZ stage. collimator/ - PowerPoint PPT Presentation

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Page 1: Toward the automation of biological structure determination Thomas Earnest

Toward the automation ofbiological structure determination

Thomas EarnestBerkeley Center for Structural Biology

Physical Biosciences DivisionLawrence Berkeley National Laboratory

Page 2: Toward the automation of biological structure determination Thomas Earnest

Manual mounting and alignment

Page 3: Toward the automation of biological structure determination Thomas Earnest

sample

dewar

goniometer/

XYZ stage

micro-scope

cryostream

gripper

heater

collimator/

beamstop

Page 4: Toward the automation of biological structure determination Thomas Earnest
Page 5: Toward the automation of biological structure determination Thomas Earnest

Crystal transport and handling

automounterdewar with 112

samples

sample cassette with magnetic base (puck)

puck handling tools

Page 6: Toward the automation of biological structure determination Thomas Earnest

Crystal transport and storage

Taylor-WhartonCP 100 dry shipping

Dewar holds 7 pucks (112 samples)

Page 7: Toward the automation of biological structure determination Thomas Earnest

Automated Loop Alignment

•Auto Focus if loop can’t be found (<10 sec)

•Center Loop (2 sec)

•Rotate 90 degrees (1 sec)

•Center Loop (2 Sec)

•Raster using low-dose x-rays to maximize diffraction, thus centering xtal

Page 8: Toward the automation of biological structure determination Thomas Earnest
Page 9: Toward the automation of biological structure determination Thomas Earnest
Page 10: Toward the automation of biological structure determination Thomas Earnest

This system is installed and operational onBL 5.0.1, 5.0.2, 5.0.3

Under construction for HHMI BL 8.2.1

Also under construction for beamlines atNSLS, CHESS, and APS SER-CAT

Page 11: Toward the automation of biological structure determination Thomas Earnest

97.197.096.9

2018161412108642

Dataset

188.8188.7188.6

45.745.645.5

57.0

56.5

56.0

42.041.0

5.0

4.5

60.050.040.0

11.010.0

9.0

1.61.41.21.0

-55.0

-50.0

-45.0

1.1

1.0

0.9

a

b

c

last shell

all

all

all

last shell

last shell

Page 12: Toward the automation of biological structure determination Thomas Earnest

Beamline software DCS: Hutch Tab

Page 13: Toward the automation of biological structure determination Thomas Earnest
Page 14: Toward the automation of biological structure determination Thomas Earnest

Beamline Software DCS: Scan Tab

Page 15: Toward the automation of biological structure determination Thomas Earnest

Beamline software DCS: Track Tab

Page 16: Toward the automation of biological structure determination Thomas Earnest

Autonomous agents as real-time,adaptive controllers of

•Data collection•Data processing•Analysis•Process flow•Information analysis

ROBOHUTCH CYBERHUTCH

Page 17: Toward the automation of biological structure determination Thomas Earnest

Automated screening / data collection

• Crystal mounting

• Centering

• Screening

• Rescreen

• Unmounting

Collaboration between BCSB and CCI (P. Adams, Nick Sauter)

Data collection on best crystal:

Mounting/Collecting/Unmounting

userpriority score

strategy

Page 18: Toward the automation of biological structure determination Thomas Earnest

Sample Comments Bravais Lattice Mosaicity Distance x-Beam y-Beam rms Residual Resolutionalpha-lytic protease P3 0.15 130.4 172.7 172.3 0.034 0.89

lysozyme P4 0.54 198.7 94.1 99.3 0.043 1.98lysozyme P4 0.78 198.7 94.1 99.2 0.105 1.88lysozyme P4 0.40 198.9 94.1 99.5 0.070 1.88

mercury derivative C222 0.50 198.4 90.7 94.0 0.059 2.14y114: large unit cell P4 0.70 220.1 99.5 95.7 0.096 2.29

poorly diffracting lysozyme peculiar back ground; possible ice ring/iteration limitpoorly diffracting lysozyme two segments autoindex to different Laue groups/iteration limitpoorly diffracting lysozyme peculiar back ground; possible ice ring/iteration limit

crystal looks twinned two segments autoindex to different Laue groups/iteration limitblank image peculiar back ground; possible ice ring/iteration limitblank image invalid back ground with average counts too low/iteration limit

Xtal / User db

Page 19: Toward the automation of biological structure determination Thomas Earnest

environmentagent

?

sensors

actuators

Autonomous agents

Page 20: Toward the automation of biological structure determination Thomas Earnest

Autonomous Agents

Definition:“An autonomous agent is a system

situated within and a part of an environment that senses that environment and acts on it, over time, in pursuit of its own agenda and so as to effect what it senses in the future.”

Franklin & Graesser, 1996“Is it an Agent, or just a Program?” Proc. of 3rd Int. Workshop on Agent Theories

Page 21: Toward the automation of biological structure determination Thomas Earnest

•situated within and a part of an environmentbeamline, automounter, computational control

•senses that environmentoptical system, encoders

•acts on itmount crystalmove goniometer, detector

take data

•pursuit of its own agendacollection of highest-quality data as fast as possiblestructure determination

•effect what it senses in the futureknowledge base updating and influencing future actions

Page 22: Toward the automation of biological structure determination Thomas Earnest

Carl Cork Bob NordmeyerJohn Taylor Earl CornellGyorgy Snell BioinstrumentationJeff DickertBrian Greensmith Azer Dauz Nick SauterToni Borders Paul AdamsAnthony Rozales CCIJon SpearsBCSB

NIH/NIGMS, DOE/OBER, Agouron Institute