omation mbers - Society for Laboratory Automation and Screening

omation mbers - Society for Laboratory Automation and Screening omation mbers - Society for Laboratory Automation and Screening

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8:00 am Wednesday, February 4 Proteomics – Structural Room B1 Lance Stewart deCODE genetics, Inc. 7869 N.E. Day Road West Bainbridge Island, Washington 98110 lstewart@decode.com 84 Co-Author(s) Hidong Kim, Alexandrina Muntianu, Geetha Sundaram, Mark Mixon, Sattu Desai, Craig Sterling Advanced Mixology: Liquid Handling Devices for High Speed Cocktail Preparation and Iterative Protein-ligand Co-crystallization Experiments Early stage drug discovery programs can be greatly accelerated by the availability of high-resolution X-ray crystal structures of protein-ligand complexes. Ideally, multiple crystal structures of protein-ligand complexes are obtained within three to nine months after the initiation of a drug development program. Unfortunately, there are numerous bottlenecks between the selection of a target gene and the successful structure determination of a protein-ligand co-crystal. To address several bottlenecks in the crystallization process, we have developed an integrated system of secure database software and liquid handling robotics to automate the production, from stock solutions, of the thousands of formulations that are required for iterative screening and optimization of protein crystal growth. Protein-ligand co-crystallization screening is among the most demanding liquid handling applications in life sciences. Protein samples and chemical libraries are expensive, sensitive to degradation, and are typically only available in microgram to milligram quantities. Supply chain management of these materials is a challenge in and of itself, not to mention the demands for small volume non-contact dispensing of complex formulations that have varying viscosities, ionic strengths, chemical and pH gradients, etc. A typical crystallization experiment can often require the properly sequenced random access microshot delivery of five or more solution components from different source plates or vials (crystallization cocktail, protein, ligand, additive, reducing agent, metal co-factor, allosteric modulator, a second protein, etc.). Our efforts to address these demanding liquid handling issues will be described together with specific crystallization examples from our drug discovery programs. 8:30 am Wednesday, February 4 Proteomics – Structural Room B1 Frank Von Delft The Scripps Research Institute 10550 North Torrey Pines Road-SR101 La Jolla, California 92037 loretta@scripps.edu High Throughput Technologies in Structural Biology and Applications Towards Genomes, Pathways, and Drug Design Four years after the start of the development of high throughput structural proteomics, we are now observing almost a dozen vendors manufacturing crystallization and imaging technologies. Significant improvements in the other areas related to the structural biology processes are also being seen. Integration and efficiency improvements based on data analysis remain as significant challenges, but new systems and approaches are emerging. Given this history, we are starting to observe the first sets of results that have directly come from these technological innovations. Lastly, both biotech and almost all members of the pharmaceutical industry are now embracing high throughput structural proteomics technologies. A description of the current challenges and recent successes will be presented.

9:00 am Wednesday, February 4 Proteomics – Structural Room B1 John A. Adams RoboDesign International, Inc. 5120 Pasteur Court Carlsbad, California 92008 jadams@robodesign.com Automated Protein Crystallization System 85 Co-Author(s) Janet M. Newman, David W. Jewell, John K. Hoffman, Mandel W. Mickley A complete, intermediate-sized (1100 plates), dual temperature, automated protein crystallization platform consisting of automated small-volume pipetting, automatic plate incubation, storage and retrieval, automatic drop imaging, database cataloging, analysis and classification, plus a closed-loop crystal trial experiment and trial optimization database that seamlessly connects all of the sub-system software and hardware. This system enables users to set up initial screens using standard screen blocks or to make custom initial screens, automatically make the experimental plates and have them transferred into incubation, imaged, analyzed, and classified based upon a user defined schedule. These results form the basis for an intelligent platform that can be used to more quickly and efficiently determine optimal protein crystal growth conditions. 9:30 am Wednesday, February 4 Proteomics – Structural Room B1 Brent Segelke Lawrence Livermore National Laboratory 7000 East Avenue Livermore, California 94551 segelke1@llnl.gov Automated Combinatorial Protein Crystallization Screening Co-Author(s) Dominique Toppani, Tim Lekin, Bernhard Rupp Lawrence Livermore National Laboratory Mary Cornett, Joel McComb Innovadyne Technologies, Inc. By considering crystal screening as a sampling problem, we have previously demonstrated, by probability theory, the inherent efficiency of stochastic combinatorial screening (Segelke, J. Crystal Growth 2000). While efficient in principal, stochastic combinatorial screening is difficult to automate in practice. Robotic liquid handling instruments are generally designed for high throughput mother-daughter transfers or for lower throughput, though versatile, rearraying. A new 96-tip, non-contact, liquid handling instrument by Innovdyne makes high throughput automated crystallization screening, on the fly, possible. The instrument is equipped with 96, independently actuated, noncontact, nano-dispensing tips. The Independent actuation enables any source any destination liquid handling. With a software experimental design engine, CRYSTOOL, aspirate/dispense operations are generated on the fly and passed to the instrument at run-time. Stock reagents arrayed in 96-well deep well blocks are aspirated simultaneously and dispensed in the random order and volume prescribed by worklists generated by the design engine. The instrument also maintains high precision over a broad range of volumes and viscosities, delivering exceptional versatility for types, concentrations, and ratios of components used in custom combinatorial screens. The same instrument can be used for rapid setup of vapor diffusion or microbatch crystallization experiments from premade screens or for the setup of grid optimization screens. PODIUM ABSTRACTS

8:00 am Wednesday, February 4 Proteomics – Structural Room B1<br />

Lance Stewart<br />

deCODE genetics, Inc.<br />

7869 N.E. Day Road West<br />

Bainbridge Isl<strong>and</strong>, Washington 98110<br />

lstewart@decode.com<br />

84<br />

Co-Author(s)<br />

Hidong Kim, Alex<strong>and</strong>rina Muntianu,<br />

Geetha Sundaram, Mark Mixon,<br />

Sattu Desai, Craig Sterling<br />

Advanced Mixology: Liquid H<strong>and</strong>ling Devices <strong>for</strong> High Speed Cocktail Preparation <strong>and</strong><br />

Iterative Protein-lig<strong>and</strong> Co-crystallization Experiments<br />

Early stage drug discovery programs can be greatly accelerated by the availability of high-resolution X-ray crystal<br />

structures of protein-lig<strong>and</strong> complexes. Ideally, multiple crystal structures of protein-lig<strong>and</strong> complexes are obtained<br />

within three to nine months after the initiation of a drug development program. Un<strong>for</strong>tunately, there are numerous<br />

bottlenecks between the selection of a target gene <strong>and</strong> the successful structure determination of a protein-lig<strong>and</strong><br />

co-crystal. To address several bottlenecks in the crystallization process, we have developed an integrated system<br />

of secure database software <strong>and</strong> liquid h<strong>and</strong>ling robotics to automate the production, from stock solutions, of<br />

the thous<strong>and</strong>s of <strong>for</strong>mulations that are required <strong>for</strong> iterative screening <strong>and</strong> optimization of protein crystal growth.<br />

Protein-lig<strong>and</strong> co-crystallization screening is among the most dem<strong>and</strong>ing liquid h<strong>and</strong>ling applications in life<br />

sciences. Protein samples <strong>and</strong> chemical libraries are expensive, sensitive to degradation, <strong>and</strong> are typically only<br />

available in microgram to milligram quantities. Supply chain management of these materials is a challenge in <strong>and</strong><br />

of itself, not to mention the dem<strong>and</strong>s <strong>for</strong> small volume non-contact dispensing of complex <strong>for</strong>mulations that have<br />

varying viscosities, ionic strengths, chemical <strong>and</strong> pH gradients, etc. A typical crystallization experiment can often<br />

require the properly sequenced r<strong>and</strong>om access microshot delivery of five or more solution components from<br />

different source plates or vials (crystallization cocktail, protein, lig<strong>and</strong>, additive, reducing agent, metal co-factor,<br />

allosteric modulator, a second protein, etc.). Our ef<strong>for</strong>ts to address these dem<strong>and</strong>ing liquid h<strong>and</strong>ling issues will be<br />

described together with specific crystallization examples from our drug discovery programs.<br />

8:30 am Wednesday, February 4 Proteomics – Structural Room B1<br />

Frank Von Delft<br />

The Scripps Research Institute<br />

10550 North Torrey Pines Road-SR101<br />

La Jolla, Cali<strong>for</strong>nia 92037<br />

loretta@scripps.edu<br />

High Throughput Technologies in Structural Biology <strong>and</strong> Applications Towards Genomes,<br />

Pathways, <strong>and</strong> Drug Design<br />

Four years after the start of the development of high throughput structural proteomics, we are now observing<br />

almost a dozen vendors manufacturing crystallization <strong>and</strong> imaging technologies. Significant improvements<br />

in the other areas related to the structural biology processes are also being seen. Integration <strong>and</strong> efficiency<br />

improvements based on data analysis remain as significant challenges, but new systems <strong>and</strong> approaches are<br />

emerging. Given this history, we are starting to observe the first sets of results that have directly come from these<br />

technological innovations. Lastly, both biotech <strong>and</strong> almost all me<strong>mbers</strong> of the pharmaceutical industry are now<br />

embracing high throughput structural proteomics technologies. A description of the current challenges <strong>and</strong> recent<br />

successes will be presented.

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