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bioassayR: Cross-Target Analysis of Small Molecule Bioactivity

[Image: see text] Despite a large and rapidly growing body of small molecule bioactivity screens available in the public domain, systematic leverage of the data to assess target druggability and compound selectivity has been confounded by a lack of suitable cross-target analysis software. We have de...

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Detalles Bibliográficos
Autores principales: Backman, Tyler William H., Girke, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2016
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330305/
https://www.ncbi.nlm.nih.gov/pubmed/27367556
http://dx.doi.org/10.1021/acs.jcim.6b00109
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author Backman, Tyler William H.
Girke, Thomas
author_facet Backman, Tyler William H.
Girke, Thomas
author_sort Backman, Tyler William H.
collection PubMed
description [Image: see text] Despite a large and rapidly growing body of small molecule bioactivity screens available in the public domain, systematic leverage of the data to assess target druggability and compound selectivity has been confounded by a lack of suitable cross-target analysis software. We have developed bioassayR, a computational tool that enables simultaneous analysis of thousands of bioassay experiments performed over a diverse set of compounds and biological targets. Unique features include support for large-scale cross-target analyses of both public and custom bioassays, generation of high throughput screening fingerprints (HTSFPs), and an optional preloaded database that provides access to a substantial portion of publicly available bioactivity data. bioassayR is implemented as an open-source R/Bioconductor package available from https://bioconductor.org/packages/bioassayR/.
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spelling pubmed-53303052017-07-01 bioassayR: Cross-Target Analysis of Small Molecule Bioactivity Backman, Tyler William H. Girke, Thomas J Chem Inf Model [Image: see text] Despite a large and rapidly growing body of small molecule bioactivity screens available in the public domain, systematic leverage of the data to assess target druggability and compound selectivity has been confounded by a lack of suitable cross-target analysis software. We have developed bioassayR, a computational tool that enables simultaneous analysis of thousands of bioassay experiments performed over a diverse set of compounds and biological targets. Unique features include support for large-scale cross-target analyses of both public and custom bioassays, generation of high throughput screening fingerprints (HTSFPs), and an optional preloaded database that provides access to a substantial portion of publicly available bioactivity data. bioassayR is implemented as an open-source R/Bioconductor package available from https://bioconductor.org/packages/bioassayR/. American Chemical Society 2016-07-01 2016-07-25 /pmc/articles/PMC5330305/ /pubmed/27367556 http://dx.doi.org/10.1021/acs.jcim.6b00109 Text en Copyright © 2016 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Backman, Tyler William H.
Girke, Thomas
bioassayR: Cross-Target Analysis of Small Molecule Bioactivity
title bioassayR: Cross-Target Analysis of Small Molecule Bioactivity
title_full bioassayR: Cross-Target Analysis of Small Molecule Bioactivity
title_fullStr bioassayR: Cross-Target Analysis of Small Molecule Bioactivity
title_full_unstemmed bioassayR: Cross-Target Analysis of Small Molecule Bioactivity
title_short bioassayR: Cross-Target Analysis of Small Molecule Bioactivity
title_sort bioassayr: cross-target analysis of small molecule bioactivity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330305/
https://www.ncbi.nlm.nih.gov/pubmed/27367556
http://dx.doi.org/10.1021/acs.jcim.6b00109
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