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A large-scale dataset of in vivo pharmacology assay results

ChEMBL is a large-scale, open-access drug discovery resource containing bioactivity information primarily extracted from scientific literature. A substantial dataset of more than 135,000 in vivo assays has been collated as a key resource of animal models for translational medicine within drug discov...

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Autores principales: Hunter, Fiona M. I., L. Atkinson, Francis, Bento, A. Patrícia, Bosc, Nicolas, Gaulton, Anna, Hersey, Anne, Leach, Andrew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206617/
https://www.ncbi.nlm.nih.gov/pubmed/30351302
http://dx.doi.org/10.1038/sdata.2018.230
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author Hunter, Fiona M. I.
L. Atkinson, Francis
Bento, A. Patrícia
Bosc, Nicolas
Gaulton, Anna
Hersey, Anne
Leach, Andrew R.
author_facet Hunter, Fiona M. I.
L. Atkinson, Francis
Bento, A. Patrícia
Bosc, Nicolas
Gaulton, Anna
Hersey, Anne
Leach, Andrew R.
author_sort Hunter, Fiona M. I.
collection PubMed
description ChEMBL is a large-scale, open-access drug discovery resource containing bioactivity information primarily extracted from scientific literature. A substantial dataset of more than 135,000 in vivo assays has been collated as a key resource of animal models for translational medicine within drug discovery. To improve the utility of the in vivo data, an extensive data curation task has been undertaken that allows the assays to be grouped by animal disease model or phenotypic endpoint. The dataset contains previously unavailable information about compounds or drugs tested in animal models and, in conjunction with assay data on protein targets or cell- or tissue- based systems, allows the investigation of the effects of compounds at differing levels of biological complexity. Equally, it enables researchers to identify compounds that have been investigated for a group of disease-, pharmacology- or toxicity-relevant assays.
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spelling pubmed-62066172018-11-06 A large-scale dataset of in vivo pharmacology assay results Hunter, Fiona M. I. L. Atkinson, Francis Bento, A. Patrícia Bosc, Nicolas Gaulton, Anna Hersey, Anne Leach, Andrew R. Sci Data Data Descriptor ChEMBL is a large-scale, open-access drug discovery resource containing bioactivity information primarily extracted from scientific literature. A substantial dataset of more than 135,000 in vivo assays has been collated as a key resource of animal models for translational medicine within drug discovery. To improve the utility of the in vivo data, an extensive data curation task has been undertaken that allows the assays to be grouped by animal disease model or phenotypic endpoint. The dataset contains previously unavailable information about compounds or drugs tested in animal models and, in conjunction with assay data on protein targets or cell- or tissue- based systems, allows the investigation of the effects of compounds at differing levels of biological complexity. Equally, it enables researchers to identify compounds that have been investigated for a group of disease-, pharmacology- or toxicity-relevant assays. Nature Publishing Group 2018-10-23 /pmc/articles/PMC6206617/ /pubmed/30351302 http://dx.doi.org/10.1038/sdata.2018.230 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Hunter, Fiona M. I.
L. Atkinson, Francis
Bento, A. Patrícia
Bosc, Nicolas
Gaulton, Anna
Hersey, Anne
Leach, Andrew R.
A large-scale dataset of in vivo pharmacology assay results
title A large-scale dataset of in vivo pharmacology assay results
title_full A large-scale dataset of in vivo pharmacology assay results
title_fullStr A large-scale dataset of in vivo pharmacology assay results
title_full_unstemmed A large-scale dataset of in vivo pharmacology assay results
title_short A large-scale dataset of in vivo pharmacology assay results
title_sort large-scale dataset of in vivo pharmacology assay results
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206617/
https://www.ncbi.nlm.nih.gov/pubmed/30351302
http://dx.doi.org/10.1038/sdata.2018.230
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