Unified Software Solution for Efficient SPR Data Analysis in Drug Research

Author:

Dahl Göran1,Steigele Stephan2,Hillertz Per3,Tigerström Anna1,Egnéus Anders3,Mehrle Alexander2,Ginkel Martin2,Edfeldt Fredrik1,Holdgate Geoff4,O’Connell Nichole5,Kappler Bernd2,Brodte Annette2,Rawlins Philip B.4,Davies Gareth6,Westberg Eva-Lotta3,Folmer Rutger H. A.1,Heyse Stephan2

Affiliation:

1. Discovery Sciences, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Mölndal, Sweden

2. Genedata AG, Basel, Switzerland

3. R&D Information, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Mölndal, Sweden

4. Discovery Sciences, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, UK

5. Discovery Sciences, Innovative Medicines and Early Development Biotech Unit, Waltham, MA, USA

6. Discovery Sciences, Innovative Medicines and Early Development Biotech Unit, Macclesfield, Cheshire, UK

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.

Publisher

Elsevier BV

Subject

Molecular Medicine,Biochemistry,Analytical Chemistry,Biotechnology

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