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The heterogeneous pharmacological medical biochemical network PharMeBINet

Heterogeneous biomedical pharmacological databases are important for multiple fields in bioinformatics. Hetionet is a freely available database combining diverse entities and relationships from 29 public resources. Therefore, it is used as the basis for this project. 19 additional pharmacological me...

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Autores principales: Königs, Cassandra, Friedrichs, Marcel, Dietrich, Theresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276653/
https://www.ncbi.nlm.nih.gov/pubmed/35821017
http://dx.doi.org/10.1038/s41597-022-01510-3
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author Königs, Cassandra
Friedrichs, Marcel
Dietrich, Theresa
author_facet Königs, Cassandra
Friedrichs, Marcel
Dietrich, Theresa
author_sort Königs, Cassandra
collection PubMed
description Heterogeneous biomedical pharmacological databases are important for multiple fields in bioinformatics. Hetionet is a freely available database combining diverse entities and relationships from 29 public resources. Therefore, it is used as the basis for this project. 19 additional pharmacological medical and biological databases such as CTD, DrugBank, and ClinVar are parsed and integrated into Neo4j. Afterwards, the information is merged into the Hetionet structure. Different mapping methods are used such as external identification systems or name mapping. The resulting open-source Neo4j database PharMeBINet has 2,869,407 different nodes with 66 labels and 15,883,653 relationships with 208 edge types. It is a heterogeneous database containing interconnected information on ADRs, diseases, drugs, genes, gene variations, proteins, and more. Relationships between these entities represent drug-drug interactions or drug-causes-ADR relations, to name a few. It has much potential for developing further data analyses including machine learning applications. A web application for accessing the database is free to use for everyone and available at https://pharmebi.net. Additionally, the database is deposited on Zenodo at 10.5281/zenodo.6578218.
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spelling pubmed-92766532022-07-14 The heterogeneous pharmacological medical biochemical network PharMeBINet Königs, Cassandra Friedrichs, Marcel Dietrich, Theresa Sci Data Data Descriptor Heterogeneous biomedical pharmacological databases are important for multiple fields in bioinformatics. Hetionet is a freely available database combining diverse entities and relationships from 29 public resources. Therefore, it is used as the basis for this project. 19 additional pharmacological medical and biological databases such as CTD, DrugBank, and ClinVar are parsed and integrated into Neo4j. Afterwards, the information is merged into the Hetionet structure. Different mapping methods are used such as external identification systems or name mapping. The resulting open-source Neo4j database PharMeBINet has 2,869,407 different nodes with 66 labels and 15,883,653 relationships with 208 edge types. It is a heterogeneous database containing interconnected information on ADRs, diseases, drugs, genes, gene variations, proteins, and more. Relationships between these entities represent drug-drug interactions or drug-causes-ADR relations, to name a few. It has much potential for developing further data analyses including machine learning applications. A web application for accessing the database is free to use for everyone and available at https://pharmebi.net. Additionally, the database is deposited on Zenodo at 10.5281/zenodo.6578218. Nature Publishing Group UK 2022-07-11 /pmc/articles/PMC9276653/ /pubmed/35821017 http://dx.doi.org/10.1038/s41597-022-01510-3 Text en © The Author(s) 2022 https://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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Königs, Cassandra
Friedrichs, Marcel
Dietrich, Theresa
The heterogeneous pharmacological medical biochemical network PharMeBINet
title The heterogeneous pharmacological medical biochemical network PharMeBINet
title_full The heterogeneous pharmacological medical biochemical network PharMeBINet
title_fullStr The heterogeneous pharmacological medical biochemical network PharMeBINet
title_full_unstemmed The heterogeneous pharmacological medical biochemical network PharMeBINet
title_short The heterogeneous pharmacological medical biochemical network PharMeBINet
title_sort heterogeneous pharmacological medical biochemical network pharmebinet
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276653/
https://www.ncbi.nlm.nih.gov/pubmed/35821017
http://dx.doi.org/10.1038/s41597-022-01510-3
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