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SmartGraph: a network pharmacology investigation platform
MOTIVATION: Drug discovery investigations need to incorporate network pharmacology concepts while navigating the complex landscape of drug-target and target-target interactions. This task requires solutions that integrate high-quality biomedical data, combined with analytic and predictive workflows...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6974502/ https://www.ncbi.nlm.nih.gov/pubmed/33430980 http://dx.doi.org/10.1186/s13321-020-0409-9 |
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author | Zahoránszky-Kőhalmi, Gergely Sheils, Timothy Oprea, Tudor I. |
author_facet | Zahoránszky-Kőhalmi, Gergely Sheils, Timothy Oprea, Tudor I. |
author_sort | Zahoránszky-Kőhalmi, Gergely |
collection | PubMed |
description | MOTIVATION: Drug discovery investigations need to incorporate network pharmacology concepts while navigating the complex landscape of drug-target and target-target interactions. This task requires solutions that integrate high-quality biomedical data, combined with analytic and predictive workflows as well as efficient visualization. SmartGraph is an innovative platform that utilizes state-of-the-art technologies such as a Neo4j graph-database, Angular web framework, RxJS asynchronous event library and D3 visualization to accomplish these goals. RESULTS: The SmartGraph framework integrates high quality bioactivity data and biological pathway information resulting in a knowledgebase comprised of 420,526 unique compound-target interactions defined between 271,098 unique compounds and 2018 targets. SmartGraph then performs bioactivity predictions based on the 63,783 Bemis-Murcko scaffolds extracted from these compounds. Through several use-cases, we illustrate the use of SmartGraph to generate hypotheses for elucidating mechanism-of-action, drug-repurposing and off-target prediction. AVAILABILITY: https://smartgraph.ncats.io/. |
format | Online Article Text |
id | pubmed-6974502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-69745022020-01-28 SmartGraph: a network pharmacology investigation platform Zahoránszky-Kőhalmi, Gergely Sheils, Timothy Oprea, Tudor I. J Cheminform Research Article MOTIVATION: Drug discovery investigations need to incorporate network pharmacology concepts while navigating the complex landscape of drug-target and target-target interactions. This task requires solutions that integrate high-quality biomedical data, combined with analytic and predictive workflows as well as efficient visualization. SmartGraph is an innovative platform that utilizes state-of-the-art technologies such as a Neo4j graph-database, Angular web framework, RxJS asynchronous event library and D3 visualization to accomplish these goals. RESULTS: The SmartGraph framework integrates high quality bioactivity data and biological pathway information resulting in a knowledgebase comprised of 420,526 unique compound-target interactions defined between 271,098 unique compounds and 2018 targets. SmartGraph then performs bioactivity predictions based on the 63,783 Bemis-Murcko scaffolds extracted from these compounds. Through several use-cases, we illustrate the use of SmartGraph to generate hypotheses for elucidating mechanism-of-action, drug-repurposing and off-target prediction. AVAILABILITY: https://smartgraph.ncats.io/. Springer International Publishing 2020-01-21 /pmc/articles/PMC6974502/ /pubmed/33430980 http://dx.doi.org/10.1186/s13321-020-0409-9 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, 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 data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zahoránszky-Kőhalmi, Gergely Sheils, Timothy Oprea, Tudor I. SmartGraph: a network pharmacology investigation platform |
title | SmartGraph: a network pharmacology investigation platform |
title_full | SmartGraph: a network pharmacology investigation platform |
title_fullStr | SmartGraph: a network pharmacology investigation platform |
title_full_unstemmed | SmartGraph: a network pharmacology investigation platform |
title_short | SmartGraph: a network pharmacology investigation platform |
title_sort | smartgraph: a network pharmacology investigation platform |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6974502/ https://www.ncbi.nlm.nih.gov/pubmed/33430980 http://dx.doi.org/10.1186/s13321-020-0409-9 |
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