ArticleInternational journal of molecular sciences2021
Fibrosis Protein-Protein Interactions from Google Matrix Analysis of MetaCore Network.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Fibroblast-Specific Protein-Protein Interactions for Myocardial Fibrosis from MetaCore Network.Biomolecules · 2024Article
- Opinion Formation in the World Trade Network.Entropy (Basel, Switzerland) · 2024Article
- Recent Advances in Protein-Protein Interactions.International journal of molecular sciences · 2023Article
- COVID-19's Impact on International Trade.Entropy (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Protein-protein interactions is a longstanding challenge in cardiac remodeling processes and heart failure. Here, we use the MetaCore network and the Google matrix algorithms for prediction of protein-protein interactions dictating cardiac fibrosis, a primary cause of end-stage heart failure. The developed algorithms allow identification of interactions between key proteins and predict new actors orchestrating fibroblast activation linked to fibrosis in mouse and human tissues. These data hold great promise for uncovering new therapeutic targets to limit myocardial fibrosis.
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Registered trials
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