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Exploration and comparison of molecular mechanisms across diseases using MINERVA Net
Protein function is often interpreted using molecular interaction diagrams, encoding roles a given protein plays in various molecular mechanisms. Information about disease‐related mechanisms can be inferred from disease maps, knowledge repositories containing manually constructed systems biology dia...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885449/ https://www.ncbi.nlm.nih.gov/pubmed/36648161 http://dx.doi.org/10.1002/pro.4565 |
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author | Gawron, Piotr Smula, Ewa Schneider, Reinhard Ostaszewski, Marek |
author_facet | Gawron, Piotr Smula, Ewa Schneider, Reinhard Ostaszewski, Marek |
author_sort | Gawron, Piotr |
collection | PubMed |
description | Protein function is often interpreted using molecular interaction diagrams, encoding roles a given protein plays in various molecular mechanisms. Information about disease‐related mechanisms can be inferred from disease maps, knowledge repositories containing manually constructed systems biology diagrams. Disease maps hosted on the Molecular Interaction Network VisuAlization (MINERVA) Platform are individually accessible through a REST API interface of each instance, making it challenging to systematically explore their contents. To address this challenge, we introduce the MINERVA Net web service, a repository of open‐access disease maps allowing users to publicly share minimal information about their maps. The MINERVA Net repository provides REST API endpoints of particular disease maps, which then can be individually queried for content. In this article, we describe the concept of MINERVA Net and illustrate its use by comparing proteins and their interactions in three different disease maps. |
format | Online Article Text |
id | pubmed-9885449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98854492023-02-01 Exploration and comparison of molecular mechanisms across diseases using MINERVA Net Gawron, Piotr Smula, Ewa Schneider, Reinhard Ostaszewski, Marek Protein Sci Tools for Protein Science Protein function is often interpreted using molecular interaction diagrams, encoding roles a given protein plays in various molecular mechanisms. Information about disease‐related mechanisms can be inferred from disease maps, knowledge repositories containing manually constructed systems biology diagrams. Disease maps hosted on the Molecular Interaction Network VisuAlization (MINERVA) Platform are individually accessible through a REST API interface of each instance, making it challenging to systematically explore their contents. To address this challenge, we introduce the MINERVA Net web service, a repository of open‐access disease maps allowing users to publicly share minimal information about their maps. The MINERVA Net repository provides REST API endpoints of particular disease maps, which then can be individually queried for content. In this article, we describe the concept of MINERVA Net and illustrate its use by comparing proteins and their interactions in three different disease maps. John Wiley & Sons, Inc. 2023-02-01 /pmc/articles/PMC9885449/ /pubmed/36648161 http://dx.doi.org/10.1002/pro.4565 Text en © 2023 The Authors. Protein Science published by Wiley Periodicals LLC on behalf of The Protein Society. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Tools for Protein Science Gawron, Piotr Smula, Ewa Schneider, Reinhard Ostaszewski, Marek Exploration and comparison of molecular mechanisms across diseases using MINERVA Net |
title | Exploration and comparison of molecular mechanisms across diseases using MINERVA Net |
title_full | Exploration and comparison of molecular mechanisms across diseases using MINERVA Net |
title_fullStr | Exploration and comparison of molecular mechanisms across diseases using MINERVA Net |
title_full_unstemmed | Exploration and comparison of molecular mechanisms across diseases using MINERVA Net |
title_short | Exploration and comparison of molecular mechanisms across diseases using MINERVA Net |
title_sort | exploration and comparison of molecular mechanisms across diseases using minerva net |
topic | Tools for Protein Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885449/ https://www.ncbi.nlm.nih.gov/pubmed/36648161 http://dx.doi.org/10.1002/pro.4565 |
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