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ConsensusPathDB 2022: molecular interactions update as a resource for network biology
Molecular interactions are key drivers of biological function. Providing interaction resources to the research community is important since they allow functional interpretation and network-based analysis of molecular data. ConsensusPathDB (http://consensuspathdb.org) is a meta-database combining int...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728246/ https://www.ncbi.nlm.nih.gov/pubmed/34850110 http://dx.doi.org/10.1093/nar/gkab1128 |
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author | Kamburov, Atanas Herwig, Ralf |
author_facet | Kamburov, Atanas Herwig, Ralf |
author_sort | Kamburov, Atanas |
collection | PubMed |
description | Molecular interactions are key drivers of biological function. Providing interaction resources to the research community is important since they allow functional interpretation and network-based analysis of molecular data. ConsensusPathDB (http://consensuspathdb.org) is a meta-database combining interactions of diverse types from 31 public resources for humans, 16 for mice and 14 for yeasts. Using ConsensusPathDB, researchers commonly evaluate lists of genes, proteins and metabolites against sets of molecular interactions defined by pathways, Gene Ontology and network neighborhoods and retrieve complex molecular neighborhoods formed by heterogeneous interaction types. Furthermore, the integrated protein–protein interaction network is used as a basis for propagation methods. Here, we present the 2022 update of ConsensusPathDB, highlighting content growth, additional functionality and improved database stability. For example, the number of human molecular interactions increased to 859 848 connecting 200 499 unique physical entities such as genes/proteins, metabolites and drugs. Furthermore, we integrated regulatory datasets in the form of transcription factor–, microRNA– and enhancer–gene target interactions, thus providing novel functionality in the context of overrepresentation and enrichment analyses. We specifically emphasize the use of the integrated protein–protein interaction network as a scaffold for network inferences, present topological characteristics of the network and discuss strengths and shortcomings of such approaches. |
format | Online Article Text |
id | pubmed-8728246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87282462022-01-05 ConsensusPathDB 2022: molecular interactions update as a resource for network biology Kamburov, Atanas Herwig, Ralf Nucleic Acids Res Database Issue Molecular interactions are key drivers of biological function. Providing interaction resources to the research community is important since they allow functional interpretation and network-based analysis of molecular data. ConsensusPathDB (http://consensuspathdb.org) is a meta-database combining interactions of diverse types from 31 public resources for humans, 16 for mice and 14 for yeasts. Using ConsensusPathDB, researchers commonly evaluate lists of genes, proteins and metabolites against sets of molecular interactions defined by pathways, Gene Ontology and network neighborhoods and retrieve complex molecular neighborhoods formed by heterogeneous interaction types. Furthermore, the integrated protein–protein interaction network is used as a basis for propagation methods. Here, we present the 2022 update of ConsensusPathDB, highlighting content growth, additional functionality and improved database stability. For example, the number of human molecular interactions increased to 859 848 connecting 200 499 unique physical entities such as genes/proteins, metabolites and drugs. Furthermore, we integrated regulatory datasets in the form of transcription factor–, microRNA– and enhancer–gene target interactions, thus providing novel functionality in the context of overrepresentation and enrichment analyses. We specifically emphasize the use of the integrated protein–protein interaction network as a scaffold for network inferences, present topological characteristics of the network and discuss strengths and shortcomings of such approaches. Oxford University Press 2021-11-25 /pmc/articles/PMC8728246/ /pubmed/34850110 http://dx.doi.org/10.1093/nar/gkab1128 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Kamburov, Atanas Herwig, Ralf ConsensusPathDB 2022: molecular interactions update as a resource for network biology |
title | ConsensusPathDB 2022: molecular interactions update as a resource for network biology |
title_full | ConsensusPathDB 2022: molecular interactions update as a resource for network biology |
title_fullStr | ConsensusPathDB 2022: molecular interactions update as a resource for network biology |
title_full_unstemmed | ConsensusPathDB 2022: molecular interactions update as a resource for network biology |
title_short | ConsensusPathDB 2022: molecular interactions update as a resource for network biology |
title_sort | consensuspathdb 2022: molecular interactions update as a resource for network biology |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728246/ https://www.ncbi.nlm.nih.gov/pubmed/34850110 http://dx.doi.org/10.1093/nar/gkab1128 |
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