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Unified Software Solution for Efficient SPR Data Analysis in Drug Research

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 techno...

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Autores principales: Dahl, Göran, Steigele, Stephan, Hillertz, Per, Tigerström, Anna, Egnéus, Anders, Mehrle, Alexander, Ginkel, Martin, Edfeldt, Fredrik, Holdgate, Geoff, O’Connell, Nichole, Kappler, Bernd, Brodte, Annette, Rawlins, Philip B., Davies, Gareth, Westberg, Eva-Lotta, Folmer, Rutger H. A., Heyse, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302086/
https://www.ncbi.nlm.nih.gov/pubmed/27789754
http://dx.doi.org/10.1177/1087057116675316
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author Dahl, Göran
Steigele, Stephan
Hillertz, Per
Tigerström, Anna
Egnéus, Anders
Mehrle, Alexander
Ginkel, Martin
Edfeldt, Fredrik
Holdgate, Geoff
O’Connell, Nichole
Kappler, Bernd
Brodte, Annette
Rawlins, Philip B.
Davies, Gareth
Westberg, Eva-Lotta
Folmer, Rutger H. A.
Heyse, Stephan
author_facet Dahl, Göran
Steigele, Stephan
Hillertz, Per
Tigerström, Anna
Egnéus, Anders
Mehrle, Alexander
Ginkel, Martin
Edfeldt, Fredrik
Holdgate, Geoff
O’Connell, Nichole
Kappler, Bernd
Brodte, Annette
Rawlins, Philip B.
Davies, Gareth
Westberg, Eva-Lotta
Folmer, Rutger H. A.
Heyse, Stephan
author_sort Dahl, Göran
collection PubMed
description 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.
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spelling pubmed-53020862017-02-21 Unified Software Solution for Efficient SPR Data Analysis in Drug Research Dahl, Göran Steigele, Stephan Hillertz, Per Tigerström, Anna Egnéus, Anders Mehrle, Alexander Ginkel, Martin Edfeldt, Fredrik Holdgate, Geoff O’Connell, Nichole Kappler, Bernd Brodte, Annette Rawlins, Philip B. Davies, Gareth Westberg, Eva-Lotta Folmer, Rutger H. A. Heyse, Stephan SLAS Discov Application Notes 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. SAGE Publications 2016-10-27 2017-02 /pmc/articles/PMC5302086/ /pubmed/27789754 http://dx.doi.org/10.1177/1087057116675316 Text en © 2016 Society for Laboratory Automation and Screening http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Application Notes
Dahl, Göran
Steigele, Stephan
Hillertz, Per
Tigerström, Anna
Egnéus, Anders
Mehrle, Alexander
Ginkel, Martin
Edfeldt, Fredrik
Holdgate, Geoff
O’Connell, Nichole
Kappler, Bernd
Brodte, Annette
Rawlins, Philip B.
Davies, Gareth
Westberg, Eva-Lotta
Folmer, Rutger H. A.
Heyse, Stephan
Unified Software Solution for Efficient SPR Data Analysis in Drug Research
title Unified Software Solution for Efficient SPR Data Analysis in Drug Research
title_full Unified Software Solution for Efficient SPR Data Analysis in Drug Research
title_fullStr Unified Software Solution for Efficient SPR Data Analysis in Drug Research
title_full_unstemmed Unified Software Solution for Efficient SPR Data Analysis in Drug Research
title_short Unified Software Solution for Efficient SPR Data Analysis in Drug Research
title_sort unified software solution for efficient spr data analysis in drug research
topic Application Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302086/
https://www.ncbi.nlm.nih.gov/pubmed/27789754
http://dx.doi.org/10.1177/1087057116675316
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