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In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR
A plethora of databases exist online that can assist in in silico chemical or drug safety assessment. However, a systematic review and grouping of databases, based on purpose and information content, consolidated in a single source, has been lacking. To resolve this issue, this review provides a com...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580867/ https://www.ncbi.nlm.nih.gov/pubmed/31244651 http://dx.doi.org/10.3389/fphar.2019.00561 |
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author | Pawar, Gopal Madden, Judith C. Ebbrell, David Firman, James W. Cronin, Mark T. D. |
author_facet | Pawar, Gopal Madden, Judith C. Ebbrell, David Firman, James W. Cronin, Mark T. D. |
author_sort | Pawar, Gopal |
collection | PubMed |
description | A plethora of databases exist online that can assist in in silico chemical or drug safety assessment. However, a systematic review and grouping of databases, based on purpose and information content, consolidated in a single source, has been lacking. To resolve this issue, this review provides a comprehensive listing of the key in silico data resources relevant to: chemical identity and properties, drug action, toxicology (including nano-material toxicity), exposure, omics, pathways, Absorption, Distribution, Metabolism and Elimination (ADME) properties, clinical trials, pharmacovigilance, patents-related databases, biological (genes, enzymes, proteins, other macromolecules etc.) databases, protein-protein interactions (PPIs), environmental exposure related, and finally databases relating to animal alternatives in support of 3Rs policies. More than nine hundred databases were identified and reviewed against criteria relating to accessibility, data coverage, interoperability or application programming interface (API), appropriate identifiers, types of in vitro, in vivo,-clinical or other data recorded and suitability for modelling, read-across, or similarity searching. This review also specifically addresses the need for solutions for mapping and integration of databases into a common platform for better translatability of preclinical data to clinical data. |
format | Online Article Text |
id | pubmed-6580867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65808672019-06-26 In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR Pawar, Gopal Madden, Judith C. Ebbrell, David Firman, James W. Cronin, Mark T. D. Front Pharmacol Pharmacology A plethora of databases exist online that can assist in in silico chemical or drug safety assessment. However, a systematic review and grouping of databases, based on purpose and information content, consolidated in a single source, has been lacking. To resolve this issue, this review provides a comprehensive listing of the key in silico data resources relevant to: chemical identity and properties, drug action, toxicology (including nano-material toxicity), exposure, omics, pathways, Absorption, Distribution, Metabolism and Elimination (ADME) properties, clinical trials, pharmacovigilance, patents-related databases, biological (genes, enzymes, proteins, other macromolecules etc.) databases, protein-protein interactions (PPIs), environmental exposure related, and finally databases relating to animal alternatives in support of 3Rs policies. More than nine hundred databases were identified and reviewed against criteria relating to accessibility, data coverage, interoperability or application programming interface (API), appropriate identifiers, types of in vitro, in vivo,-clinical or other data recorded and suitability for modelling, read-across, or similarity searching. This review also specifically addresses the need for solutions for mapping and integration of databases into a common platform for better translatability of preclinical data to clinical data. Frontiers Media S.A. 2019-06-11 /pmc/articles/PMC6580867/ /pubmed/31244651 http://dx.doi.org/10.3389/fphar.2019.00561 Text en Copyright © 2019 Pawar, Madden, Ebbrell, Firman and Cronin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Pawar, Gopal Madden, Judith C. Ebbrell, David Firman, James W. Cronin, Mark T. D. In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR |
title | In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR |
title_full | In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR |
title_fullStr | In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR |
title_full_unstemmed | In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR |
title_short | In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR |
title_sort | in silico toxicology data resources to support read-across and (q)sar |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580867/ https://www.ncbi.nlm.nih.gov/pubmed/31244651 http://dx.doi.org/10.3389/fphar.2019.00561 |
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