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ADME SARfari: comparative genomics of drug metabolizing systems
Motivation: ADME SARfari is a freely available web resource that enables comparative analyses of drug-disposition genes. It does so by integrating a number of publicly available data sources, which have subsequently been used to build data mining services, predictive tools and visualizations for dru...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426839/ https://www.ncbi.nlm.nih.gov/pubmed/25964657 http://dx.doi.org/10.1093/bioinformatics/btv010 |
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author | Davies, Mark Dedman, Nathan Hersey, Anne Papadatos, George Hall, Matthew D. Cucurull-Sanchez, Lourdes Jeffrey, Phil Hasan, Samiul Eddershaw, Peter J. Overington, John P. |
author_facet | Davies, Mark Dedman, Nathan Hersey, Anne Papadatos, George Hall, Matthew D. Cucurull-Sanchez, Lourdes Jeffrey, Phil Hasan, Samiul Eddershaw, Peter J. Overington, John P. |
author_sort | Davies, Mark |
collection | PubMed |
description | Motivation: ADME SARfari is a freely available web resource that enables comparative analyses of drug-disposition genes. It does so by integrating a number of publicly available data sources, which have subsequently been used to build data mining services, predictive tools and visualizations for drug metabolism researchers. The data include the interactions of small molecules with ADME (absorption, distribution, metabolism and excretion) proteins responsible for the metabolism and transport of molecules; available pharmacokinetic (PK) data; protein sequences of ADME-related molecular targets for pre-clinical model species and human; alignments of the orthologues including information on known SNPs (Single Nucleotide Polymorphism) and information on the tissue distribution of these proteins. In addition, in silico models have been developed, which enable users to predict which ADME relevant protein targets a novel compound is likely to interact with. Availability and implementation: https://www.ebi.ac.uk/chembl/admesarfari Contact: jpo@ebi.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4426839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44268392015-05-15 ADME SARfari: comparative genomics of drug metabolizing systems Davies, Mark Dedman, Nathan Hersey, Anne Papadatos, George Hall, Matthew D. Cucurull-Sanchez, Lourdes Jeffrey, Phil Hasan, Samiul Eddershaw, Peter J. Overington, John P. Bioinformatics Applications Notes Motivation: ADME SARfari is a freely available web resource that enables comparative analyses of drug-disposition genes. It does so by integrating a number of publicly available data sources, which have subsequently been used to build data mining services, predictive tools and visualizations for drug metabolism researchers. The data include the interactions of small molecules with ADME (absorption, distribution, metabolism and excretion) proteins responsible for the metabolism and transport of molecules; available pharmacokinetic (PK) data; protein sequences of ADME-related molecular targets for pre-clinical model species and human; alignments of the orthologues including information on known SNPs (Single Nucleotide Polymorphism) and information on the tissue distribution of these proteins. In addition, in silico models have been developed, which enable users to predict which ADME relevant protein targets a novel compound is likely to interact with. Availability and implementation: https://www.ebi.ac.uk/chembl/admesarfari Contact: jpo@ebi.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-05-15 2015-01-08 /pmc/articles/PMC4426839/ /pubmed/25964657 http://dx.doi.org/10.1093/bioinformatics/btv010 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Davies, Mark Dedman, Nathan Hersey, Anne Papadatos, George Hall, Matthew D. Cucurull-Sanchez, Lourdes Jeffrey, Phil Hasan, Samiul Eddershaw, Peter J. Overington, John P. ADME SARfari: comparative genomics of drug metabolizing systems |
title | ADME SARfari: comparative genomics of drug metabolizing systems |
title_full | ADME SARfari: comparative genomics of drug metabolizing systems |
title_fullStr | ADME SARfari: comparative genomics of drug metabolizing systems |
title_full_unstemmed | ADME SARfari: comparative genomics of drug metabolizing systems |
title_short | ADME SARfari: comparative genomics of drug metabolizing systems |
title_sort | adme sarfari: comparative genomics of drug metabolizing systems |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426839/ https://www.ncbi.nlm.nih.gov/pubmed/25964657 http://dx.doi.org/10.1093/bioinformatics/btv010 |
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