ArticleIntegrative biology : quantitative biosciences from nano to macro2017
A computational framework for distinguishing direct versus indirect interactions in human functional protein-protein interaction networks.
Article in Integrative biology : quantitative biosciences from nano to macro, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- ENQUIRE automatically reconstructs, expands, and drives enrichment analysis of gene and Mesh co-occurrence networks from context-specific biomedical literature.PLoS computational biology · 2025Article
- A Computational Framework for Predicting Direct Contacts and Substructures within Protein Complexes.Biomolecules · 2019Article
- The Role of the Cyclin Dependent Kinase Inhibitor p21Cancers · 2019Review
- Review of computational methods for virus-host protein interaction prediction: a case study on novel Ebola-human interactions.Briefings in functional genomics · 2018Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Recognition of indirect interactions is instrumental to in silico reconstruction of signaling pathways and sheds light on the exploration of unknown physical paths between two indirectly interacting genes. However, very limited computational methods have explicitly exploited the indirect interactions with experimental evidence thus far. In this work, we attempt to distinguish direct versus indirect interactions in human functional protein-protein interaction (PPI) networks via a predictive l
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Registered trials
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