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Unified Software Solution for Efficient SPR Data Analysis in Drug Research

Authors :
Göran Dahl
Bernd Kappler
Anna Tigerström
Annette Brodte
Fredrik Edfeldt
Philip B. Rawlins
Anders Egnéus
Geoff Holdgate
Rutger H. A. Folmer
Gareth M. Davies
Stephan Steigele
Eva-Lotta Westberg
Stephan Heyse
Nichole O'Connell
Martin Ginkel
Per Hillertz
Alexander Mehrle
Source :
Slas Discovery
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

Surface plasmon resonance (SPR) is a powerful method for obtaining detailed molecular interaction parameters. Modern instrumentation with its increased throughput has enabled routine screening by SPR in hit-to-lead and lead optimization programs, and SPR has become a mainstream drug discovery technology. However, the processing and reporting of SPR data in drug discovery are typically performed manually, which is both time-consuming and tedious. Here, we present the workflow concept, design and experiences with a software module relying on a single, browser-based software platform for the processing, analysis, and reporting of SPR data. The efficiency of this concept lies in the immediate availability of end results: data are processed and analyzed upon loading the raw data file, allowing the user to immediately quality control the results. Once completed, the user can automatically report those results to data repositories for corporate access and quickly generate printed reports or documents. The software module has resulted in a very efficient and effective workflow through saved time and improved quality control. We discuss these benefits and show how this process defines a new benchmark in the drug discovery industry for the handling, interpretation, visualization, and sharing of SPR data.

Details

ISSN :
24725552
Volume :
22
Database :
OpenAIRE
Journal :
SLAS Discovery
Accession number :
edsair.doi.dedup.....42537ab44994591c575cfa0c96aaee24