4.1 Article

Contextualized Protein-Protein Interactions

Journal

PATTERNS
Volume 2, Issue 1, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.patter.2020.100153

Keywords

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Funding

  1. Find the Cause Breast Cancer Foundation
  2. National Institute on Aging (NIA) [U19-AG023122, UH2AG064704]
  3. National Institute of Dental & Craniofacial Research of the National Institutes of Health [F31DE029701]

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In this study, a resource for disease- and tissue-relevant protein-protein interactions was provided through data mining, contributing to the reconstruction and analysis of disease-centric molecular interaction networks. This resource is expected to be of interest to a wide audience of researchers in the life sciences.
Protein-protein interaction (PPI) databases are an important bioinformatics resource, yet existing literaturecurated databases usually represent cell-type-agnostic interactions, which is at variance with our understanding that protein dynamics are context specific and highly dependent on their environment. Here, we provide a resource derived through data mining to infer disease- and tissue-relevant interactions by annotating existing PPI databases with cell-contextual information extracted from reporting studies. This resource is applicable to the reconstruction and analysis of disease-centric molecular interaction networks. We have made the data and method publicly available and plan to release scheduled updates in the future. We expect these resources to be of interest to a wide audience of researchers in the life sciences.

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