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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9:00 am Thursday, February 5 HT Chemistry – In<strong>for</strong>matics Room B3<br />
Ping Du<br />
Du Consulting, LLC<br />
4 Fullerton Place<br />
Livingston, New Jersey 07039<br />
ping_du_2003@yahoo.com<br />
An In<strong>for</strong>matics System <strong>for</strong> Peptide Drug Discovery<br />
An integrated in<strong>for</strong>matics system has been developed at Adaptive Therapeutics to support the discovery of cyclic<br />
peptides as antibacterial agents. The workflow supported includes combinatorial library synthesis, sequencing,<br />
screening, cherry-picking <strong>for</strong> hit confirmation, scale up synthesis, <strong>and</strong> dose response microbiology assays. Built on<br />
Oracle <strong>and</strong> Microsoft.Net technologies, the system consists of three tiers, database, business logic components,<br />
<strong>and</strong> client application modules. It is integrated with multiple laboratory instruments, such as Tecan liquid h<strong>and</strong>ler,<br />
Hitachi LCMS, plate readers, <strong>and</strong> barcode label printers.<br />
9:30 am Thursday, February 5 HT Chemistry – In<strong>for</strong>matics Room B3<br />
Neil Benn<br />
Cambridge Antibody Technology Limited<br />
Milstein Building<br />
Granta Park<br />
Cambridge, Cambs SG1 6GH United Kingdom<br />
neil.benn@cambridgeantibody.com<br />
Process Definition <strong>and</strong> Evaluation Utilizing Automated Metrics Gathering<br />
The <strong>Laboratory</strong> Aut<strong>omation</strong> industry is starting to come of age. Equipment released by manufacturers is of ever<br />
increasing quality, both in functionality <strong>and</strong> reliability. In addition users of aut<strong>omation</strong> are seeing real <strong>and</strong> tangible<br />
benefits from the implementation of aut<strong>omation</strong> within their laboratory. However the wide range of equipment<br />
<strong>and</strong> varying st<strong>and</strong>ards in both hardware <strong>and</strong> software often means that it is difficult <strong>for</strong> the laboratory manager<br />
to choose which equipment to purchase <strong>and</strong> also to measure how well that equipment is working within the<br />
established process. It is difficult to answer questions such as: Is the equipment being used? How can I modify<br />
the process to maximize return on the aut<strong>omation</strong> investment? Traditionaly this would have been acheived by<br />
talking to people who work the process in question. However this is time-consuming both <strong>for</strong> the user <strong>and</strong> the<br />
team collating the in<strong>for</strong>mation <strong>and</strong> such ‘soft’ data can also be difficult to interpret <strong>and</strong> analyse. This presentation<br />
will describe the implementation of a system to automatically gather ‘hard’ metrics data of equipment usage that<br />
will not be biased by user opinions. The system is designed to be flexible enough to work with existing control<br />
software <strong>and</strong> not require major ef<strong>for</strong>t to incorporate in new equipment. Finally methods of analysis <strong>and</strong> conclusions<br />
from analysis will be presented.<br />
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