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Towards a systematic assessment of assay interference: Identification of extensively tested compounds with high assay promiscuity
A large-scale statistical analysis of hit rates of extensively assayed compounds is presented to provide a basis for a further assessment of assay interference potential and multi-target activities. A special feature of this investigation has been the inclusion of compound series information in acti...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596351/ https://www.ncbi.nlm.nih.gov/pubmed/28928939 http://dx.doi.org/10.12688/f1000research.12370.2 |
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author | Gilberg, Erik Stumpfe, Dagmar Bajorath, Jürgen |
author_facet | Gilberg, Erik Stumpfe, Dagmar Bajorath, Jürgen |
author_sort | Gilberg, Erik |
collection | PubMed |
description | A large-scale statistical analysis of hit rates of extensively assayed compounds is presented to provide a basis for a further assessment of assay interference potential and multi-target activities. A special feature of this investigation has been the inclusion of compound series information in activity analysis and the characterization of analog series using different parameters derived from assay statistics. No prior knowledge of compounds or targets was taken into consideration in the data-driven study of analog series. It was anticipated that taking large volumes of activity data, assay frequency, and assay overlap information into account would lead to statistically sound and chemically meaningful results. More than 6000 unique series of analogs with high hit rates were identified, more than 5000 of which did not contain known interference candidates, hence providing ample opportunities for follow-up analyses from a medicinal chemistry perspective. |
format | Online Article Text |
id | pubmed-5596351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-55963512017-09-18 Towards a systematic assessment of assay interference: Identification of extensively tested compounds with high assay promiscuity Gilberg, Erik Stumpfe, Dagmar Bajorath, Jürgen F1000Res Research Article A large-scale statistical analysis of hit rates of extensively assayed compounds is presented to provide a basis for a further assessment of assay interference potential and multi-target activities. A special feature of this investigation has been the inclusion of compound series information in activity analysis and the characterization of analog series using different parameters derived from assay statistics. No prior knowledge of compounds or targets was taken into consideration in the data-driven study of analog series. It was anticipated that taking large volumes of activity data, assay frequency, and assay overlap information into account would lead to statistically sound and chemically meaningful results. More than 6000 unique series of analogs with high hit rates were identified, more than 5000 of which did not contain known interference candidates, hence providing ample opportunities for follow-up analyses from a medicinal chemistry perspective. F1000Research 2017-10-09 /pmc/articles/PMC5596351/ /pubmed/28928939 http://dx.doi.org/10.12688/f1000research.12370.2 Text en Copyright: © 2017 Gilberg E et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gilberg, Erik Stumpfe, Dagmar Bajorath, Jürgen Towards a systematic assessment of assay interference: Identification of extensively tested compounds with high assay promiscuity |
title | Towards a systematic assessment of assay interference: Identification of extensively tested compounds with high assay promiscuity |
title_full | Towards a systematic assessment of assay interference: Identification of extensively tested compounds with high assay promiscuity |
title_fullStr | Towards a systematic assessment of assay interference: Identification of extensively tested compounds with high assay promiscuity |
title_full_unstemmed | Towards a systematic assessment of assay interference: Identification of extensively tested compounds with high assay promiscuity |
title_short | Towards a systematic assessment of assay interference: Identification of extensively tested compounds with high assay promiscuity |
title_sort | towards a systematic assessment of assay interference: identification of extensively tested compounds with high assay promiscuity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596351/ https://www.ncbi.nlm.nih.gov/pubmed/28928939 http://dx.doi.org/10.12688/f1000research.12370.2 |
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