4.8 Article

ConsensusPathDB 2022: molecular interactions update as a resource for network biology

期刊

NUCLEIC ACIDS RESEARCH
卷 50, 期 D1, 页码 D587-D595

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab1128

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资金

  1. German Federal Ministry of Education and Research [161L0242A]
  2. European Commission [811034]
  3. Max Planck Society
  4. German Federal Ministry of Education and Research

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Molecular interactions play a crucial role in biological function. ConsensusPathDB serves as a meta-database combining various types of interactions, allowing researchers to evaluate and retrieve complex molecular neighborhoods. The integrated protein-protein interaction network forms the basis for propagation methods and provides additional functionality and improved stability.
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.

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