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HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform
We present HiTSEE (High-Throughput Screening Exploration Environment), a visualization tool for the analysis of large chemical screens used to examine biochemical processes. The tool supports the investigation of structure-activity relationships (SAR analysis) and, through a flexible interaction mec...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355333/ https://www.ncbi.nlm.nih.gov/pubmed/22607449 http://dx.doi.org/10.1186/1471-2105-13-S8-S4 |
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author | Strobelt, Hendrik Bertini, Enrico Braun, Joachim Deussen, Oliver Groth, Ulrich Mayer, Thomas U Merhof, Dorit |
author_facet | Strobelt, Hendrik Bertini, Enrico Braun, Joachim Deussen, Oliver Groth, Ulrich Mayer, Thomas U Merhof, Dorit |
author_sort | Strobelt, Hendrik |
collection | PubMed |
description | We present HiTSEE (High-Throughput Screening Exploration Environment), a visualization tool for the analysis of large chemical screens used to examine biochemical processes. The tool supports the investigation of structure-activity relationships (SAR analysis) and, through a flexible interaction mechanism, the navigation of large chemical spaces. Our approach is based on the projection of one or a few molecules of interest and the expansion around their neighborhood and allows for the exploration of large chemical libraries without the need to create an all encompassing overview of the whole library. We describe the requirements we collected during our collaboration with biologists and chemists, the design rationale behind the tool, and two case studies on different datasets. The described integration (HiTSEE KNIME) into the KNIME platform allows additional flexibility in adopting our approach to a wide range of different biochemical problems and enables other research groups to use HiTSEE. |
format | Online Article Text |
id | pubmed-3355333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33553332012-05-18 HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform Strobelt, Hendrik Bertini, Enrico Braun, Joachim Deussen, Oliver Groth, Ulrich Mayer, Thomas U Merhof, Dorit BMC Bioinformatics Research We present HiTSEE (High-Throughput Screening Exploration Environment), a visualization tool for the analysis of large chemical screens used to examine biochemical processes. The tool supports the investigation of structure-activity relationships (SAR analysis) and, through a flexible interaction mechanism, the navigation of large chemical spaces. Our approach is based on the projection of one or a few molecules of interest and the expansion around their neighborhood and allows for the exploration of large chemical libraries without the need to create an all encompassing overview of the whole library. We describe the requirements we collected during our collaboration with biologists and chemists, the design rationale behind the tool, and two case studies on different datasets. The described integration (HiTSEE KNIME) into the KNIME platform allows additional flexibility in adopting our approach to a wide range of different biochemical problems and enables other research groups to use HiTSEE. BioMed Central 2012-05-18 /pmc/articles/PMC3355333/ /pubmed/22607449 http://dx.doi.org/10.1186/1471-2105-13-S8-S4 Text en Copyright ©2012 Strobelt et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Strobelt, Hendrik Bertini, Enrico Braun, Joachim Deussen, Oliver Groth, Ulrich Mayer, Thomas U Merhof, Dorit HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform |
title | HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform |
title_full | HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform |
title_fullStr | HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform |
title_full_unstemmed | HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform |
title_short | HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform |
title_sort | hitsee knime: a visualization tool for hit selection and analysis in high-throughput screening experiments for the knime platform |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355333/ https://www.ncbi.nlm.nih.gov/pubmed/22607449 http://dx.doi.org/10.1186/1471-2105-13-S8-S4 |
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