Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zahoránszky-Kőhalmi, Gergely, Sheils, Timothy, Oprea, Tudor I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
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
_version_ 1783490109597810688
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
work_keys_str_mv AT zahoranszkykohalmigergely smartgraphanetworkpharmacologyinvestigationplatform
AT sheilstimothy smartgraphanetworkpharmacologyinvestigationplatform
AT opreatudori smartgraphanetworkpharmacologyinvestigationplatform